bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Artificial Intelligence-Assisted Teaching Methods in Chinese Classical Dance Movement Training
Authors: Yan Li
Published: October 2024

Taking movement training in the teaching of classical Chinese dance as an entry point, combined with the application of digital technology, improves and enriches the existing teaching methods of movement training of classical Chinese dance. Based on the Kinect skeleton data acquisition technology, the study pre-processes the collected data and proposes a dance movement data segmentation method based on movement rhythm to segment dance movement segments. The ST-GCN network structure is improved to recognize Chinese classical dance by AAST-GCN, a spatio-temporal graph convolutional network based on adaptive and attention mechanisms. Finally, the DTW algorithm is used to analyze the degree of similarity between the recognized action sequences and the standard action sequences, so as to provide targeted assisted teaching of classical Chinese dance. The results show that the intersection and concurrency ratio of the human dance posture detection method based on deep convolutional learning is always located in [0.5, 1.0], and the system can give training suggestions according to the comparison results, and the trainer can reasonably adjust the movements according to the software prompts, so as to achieve the purpose of assisted training, and then effectively improve the trainer’s dance level. After 12 weeks of AI-assisted training, the dancers obtained more obvious improvement than the control group in both rotational speed and the number of rotations, and the enhancement of these two abilities is precisely the necessary condition for realizing high-quality classical dance turn-like movements.
Research and Innovation of Animated Movie Production Technology Based on Computer Graphic Design
Authors: Yan Qifeng
Published: October 2024

The animation technology of computer graphic design can creatively integrate artificial intelligence technology and animation art, and use artificial intelligence technology to realize the creation of animation with the support of computer graphics. Based on this, this paper constructs a particle special effects system to realize the innovation of animation film production technology. This paper first analyzes the functions that need to be realized by the system and carries out the overall design of the system framework using modeling language. This includes the detailed design and graphical representation of the particle module, scene module, texture module, and so on in the particle special effects system. Then, simplify the mathematical model of snow, rain, fountain, etc., establish the particle system model of snow, rain and fountain, and realize the special effects simulation of snow, rain, fountain and other landscapes. Through the experiments, the performance of this system passes the standard of 70 frames per second, and the average score of the evaluation index of “whether there are common phenomena in animation” reaches 9.1 points, but the average score of the particle effects to express the emotions of the characters is only 6.3 points, which indicates that this system realizes the special effects simulation of snow, rain and fountain. This shows that the system in this paper has achieved the special effects simulation of snow, rain, and fountain phenomena, but there is still room for improvement in the expression of characters’ emotions with particle effects. On the whole, the system in this paper has achieved excellent special effects simulation and has realized the innovation of animation film production technology.
Research on modern art creation trend and its visual expression based on deep learning technology
Authors: Zhang Jichao , Cao Sisheng
Published: October 2024

We propose the AI painting model based on the generative adversarial network and analyze the color, pattern, and visual hierarchy of the AI painting’s visual expressiveness. Starting from the painting sketch, the corresponding generator and discriminator are integrated to construct the AI painting model based on a generative adversarial network, and the training strategy, optimization objective, and loss function calculation formula of the model are given. The visual analysis of the AI painting based on deep learning technology is combined with research analysis. In terms of simplifying sketches and generating pictures, the model presented in this paper performs more prominently than the control models (CNN and SVM), which is reflected in the loss value and F1 value, respectively. In addition, there are significant differences between AI paintings and traditional paintings in the use of color (P = 0.035, T = 1.478), pattern cultural allegory (P = 0.011, T = 0.347), and visual hierarchy (P = 0.008, T = 2.993), and AI paintings are more visually expressive than traditional paintings, and at the same time, the regression equation of the AI paintings’ visual expressiveness is 0.125+0.179*Color Use+0.188*Pattern Cultural Allegory+0.234 Visual Hierarchy. This study provides a clearer perception of the modern art creation trend and its visual expressiveness, which is of enormous significance in boosting the development of the art field.
PLC mechatronics technology in the field of intelligent control application analysis
Authors: Zhang Li , Wu Baoyin
Published: October 2024

The traditional manual operation mode has problems such as high manpower cost, low efficiency, low safety, low operating precision, etc. Achieving unmanned intelligent systems in the field of mechanical and electrical engineering has become the key to transforming and upgrading relevant enterprises and improving their overall competitiveness. In this paper, an improved fuzzy PID control system is constructed based on a PLC control system combined with a fuzzy PID intelligence algorithm. It is applied to the pumping motor, coagulation dosing system, and other specific devices for simulation experiments, compared to the conventional PID algorithm, and evaluated the control system in this paper. The fuzzy PID control algorithm of this paper reduces the steady-state adjustment time of the response curve by 30% compared to the conventional PID algorithm, and the overshooting amount is reduced by 25%. With almost no overshoot, the pumping motor that was equipped with this paper’s PID algorithm reached its stable target speed in 0.3 seconds. In addition, this study found that in the coagulation dosing system model incorporating the fuzzy PID algorithm of this paper, when the model is accurate, only 20% of the overshooting amount occurs after the system has been running for some time. The conventional PID algorithm’s 50% overshoot is significantly less than this, and the time it takes to reach a steady state is also 50 minutes earlier than the conventional PID control. When the model is imprecise, fluctuations occur in both conventional PID control and fuzzy PID control, but the amplitude of the fluctuations in fuzzy PID control is relatively small. In conclusion, this paper shows that the fuzzy PID control algorithm in this paper has higher control accuracy, response speed, and stability than the conventional PID control algorithm.
Research on the Optimization Path of Student Management Strategies Driven by Artificial Intelligence on the Cultivation of Innovative Ability of Students in Colleges and Universities
Authors: Zhang Weiwei
Published: October 2024

Based on artificial intelligence management, this paper takes students’ innovation ability as the research object and adopts the improved Apriori algorithm for mining, feature selection and data correlation of the survey data through the questionnaire survey method. With the purpose of improving students’ innovation ability, we summarize the factors affecting the cultivation of students’ innovation ability in colleges and universities and provide new ideas for the optimization of management for the improvement of students’ innovation ability driven by artificial intelligence. The experimental results found that there is no significant difference in the scientific research and innovation ability of master’s students in different grades, while the F-value of the type of undergraduate institution and the type of master’s institution on the scientific research and innovation ability of master’s students (21.121, 45.609) reaches a significant level (P < 0.01). The level of research and innovation ability of master’s students showed a high correlation with the P-value of all 4 factors of students under AI-assisted management < 0.01. The empirical analysis verified that all the variables related to university student management strategies have a significant effect on students’ innovation management ability. Obviously, artificial intelligence provides a new program for cultivating students’ innovative abilities.
Research on the practical application of BlockTune, a blockchain-based music copyright management system, in the field of music education
Authors: Zhao Danning
Published: October 2024

Blockchain has the characteristics of decentralization and traceability, and not easy to tamper with, and has been widely used in music copyright management systems. To apply BlockTune to music education, this paper proposes a BlockTune system that utilizes blockchain and a recommendation system that utilizes deep learning. The system’s overall structure is divided into five layers, which include the application layer, control layer, consensus layer, network layer, and data layer. The functional modules are then divided into four modules, based on the FISCO BCOS alliance blockchain, using the Solidity language for smart contract writing, and using the improved PBFT consensus algorithm as the consensus algorithm of the system, which improves the consensus efficiency of the system. Finally, IPFS is used to store the backed up music works, which relieves the storage pressure on the blockchain. Through the platform loading, the time information is integrated into the neural collaborative filtering algorithm, and the music resource recommendation algorithm based on deep learning is proposed to better recommend the music that needs to be queried at this stage for the users at the right time. The BlockTune system meets the application standards in terms of the average CPU occupancy rate and maximum memory consumption. Half or more of the students think that the system can help them learn music or inspire them to create music, which shows that the system can be well applied to the field of music education and achieves the purpose of the system design in this paper.
A Data-Driven Modeling Study of Factors Influencing Preschool Students’ Intention to Teach
Authors: Zhao Yue
Published: October 2024

Willingness to teach is an important condition for improving pre-service teacher literacy to promote the professional development of preschool teachers. In this study, we randomly selected 600 students from six types of preschool education majors, and processed the data using a data-driven model that included an independent sample t-test, correlation analysis, and multiple linear regression model. The data results showed that the overall mean and standard deviation of preschool education students’ willingness to teach was 3.91±0.982, and preschool education students’ willingness to teach was high overall, but there were still students who expressed a lack of significant willingness to teach. Further regression analysis revealed that individual characteristics, family environment, school environment, and teacher career perception had explanatory power of 5.8%, 20.7%, 6%, and 3%, respectively, and the factors influencing preschool education majors’ willingness to teach were diverse. Measures at both the government and university levels are necessary to comprehensively improve the willingness to teach.
Tapping the Economic Potential and Optimizing Strategies of Intangible Cultural Heritage under Digital Transformation
Authors: Zheng Zeling
Published: October 2024

Intangible cultural heritage has important historical, cultural, and spiritual values. This paper selects the intangible cultural heritage of Yunnan Painting, the national architectural decoration of Dali, as the case study object. We use web crawler technology to extract the consumer’s comment text data, establishing the Yunnan Painting consumer comment text dataset. Secondly, we extract high-frequency words from the dataset using text mining technology, TF-IDF keyword extraction, and LDA themes, and cluster them using the K-means method. Finally, we evaluate the economic potential of Yunnan Painting in terms of consumers’ cognitive abilities and the emotional appeal of its products, based on the extracted results. The study reveals that the dressmaking, painting, and tourism industries are the main economic activities of Yunnan color painting, with the tourism industry requiring further strengthening. According to the text mining of high-frequency words, the frequency of “product” in Yunnan painting was the highest at 296 times, followed by “culture,” “technology,” “cultural creativity,” and “theme.” The analysis of consumers’ emotional text features reveals that most consumers have positive emotions towards Yunnan-colored paintings, while very few have negative emotions. The economic optimization strategy that is proposed is based on the results and provides a reference value for the economic development of other intangible cultural heritage.
Strategies for cross-cultural digital media content creation and communication facilitated by emerging technologies
Authors: Zhou Dong
Published: October 2024

Cross-cultural communication is an effective way to enhance national soft power and international competitiveness, but the cultural differences between different countries hinder cross-cultural communication to a certain extent, and the efficiency of communication needs to be further improved. This study is based on the generative adversarial network algorithm in computer vision technology, which is applied to the method of creating cross-cultural digital media content. Taking the digital media content creation of traditional Dong tattoos as an example, the tattoo content created using this paper’s method is compared to the tattoo content created using Diffusion’s stable diffusion model. According to the different cultural and professional backgrounds of the interviewees, the tattoos were analyzed in terms of three evaluation dimensions, namely, the appearance characteristics, the inner performance and the practical value of the tattoos. The interviewees unanimously agreed that the digital media content of Dong traditional tattoos produced by this paper is superior to the comparative model and has more cultural identity. Finally, this paper proposes a specific strategy for using digital media to promote cross-cultural communication.
Study on the Coupled and Coordinated Development of Rural Tourism and Rural Revitalization Strategy
Authors: Zhang Yinling , He Suheng
Published: October 2024

Rural tourism development is an important part of the rural revitalization strategy. This paper explores the coupling mechanism between rural revitalization and rural tourism and proposes a combined evaluation index system for rural tourism and rural revitalization. The entropy value method and comprehensive index evaluation method are used to construct a model for measuring the comprehensive development level of rural tourism, and the level of rural revitalization is measured by using the comprehensive scoring method and combining the subjective empowerment method and objective empowerment method. The data are standardized, and the weights of the indicators are assigned to construct the rural revitalization-rural tourism coupling model; the coupling coordination function model is established to explore the level of coordinated development between rural revitalization and rural tourism. The degree of coordination between rural tourism and rural revitalization is analyzed in Anhui Province, China. The coupling curve of rural revitalization and rural tourism in Anhui province rises steadily, soaring from 0.4566 in 2016 to 0.85 in 2023, while the coupling coordination degree grows from 0.2824 to 0.8366 from 2016 to 2023. The coupling coordination degree of rural revitalization and rural tourism in each city of the province is in the range of 0.3 to 0.9, with the mean value reaching 0.591.
The Construction of a Network Alliance of Foreign Language Teacher Development Communities in the Age of Artificial Intelligence
Authors: Lu Jianshun
Published: October 2024

The construction of a professional learning development community for foreign language teachers is related to the personal development and group development of college teachers and is a guarantee for the improvement of the quality of foreign language teaching in colleges and universities. Starting from the model of professional learning networks and network learning communities, this paper establishes a teacher development community using the mean drift clustering algorithm optimized by the Gaussian kernel function. The scale-free network BA algorithm is utilized to construct a network alliance of foreign language teachers’ development community and establish indicators related to network metrics. The data of foreign language teachers’ communication platforms is used as an example to analyze the network structure of the community network alliance, and a comparison experiment is designed to analyze the application effect of the community network alliance. When the clustering cluster of foreign language teachers’ community is defined as 5, the clustering sum of squares is 79.45%, and the clustering effect is the greatest. The average interaction degree number of network members was only 1.853, and only six foreign language teachers had mediated centrality above 0.5. The teaching abilities of ordinary and excellent teachers improved between 0.36 and 0.66 points after implementing the network alliance of foreign language teachers’ development community. Making full use of intelligent technology to carry out the establishment of foreign language teacher development community network alliance helps to improve the teaching ability of foreign language teachers and realize the improvement of foreign language teaching quality.
Navigating complexities in thesis supervision: a multi-case study of perceptions, interactions and draft revisions in EAL contexts
Authors:   , Nangimah Musrifatun
Published: October 2024

Writing a thesis is a complex task that requires both creativity and adherence to academic conventions, which can be challenging for undergraduate students who may have limited knowledge of research topics, autonomy and experience with the uncertainties of thesis writing and evaluation. This study aims to explore thesis supervision in Swedish and Indonesian educational contexts to critically understand the underlying factors that contribute to thesis supervision in English as an Additional Language contexts (EAL) and how these factors influence the supervisory processes and outcomes. Using a dialogic approach, this study offers insights into the socially situated nature of supervision, inviting reflection to foster further dialogue and personalised pedagogical considerations. A multi-case study with convergent mixed-method approach was employed, involving 39 participants (14 supervisors and 25 students). Data were collected through questionnaire responses, interview responses, video-recorded supervision meetings and thesis drafts. Qualitative data were analysed through discourse analysis and reflexive thematic analysis, while quantitative data were tested with statistical regression models. Findings revealed that while thesis supervision aimed to foster collaborative dialogic supervision, students often viewed the thesis as a transactional process for graduation. The study highlights challenges in achieving truly dialogic supervision due to conflicting supervisory roles, power dynamics, and students’ limited amount of academic literacy, research literacy, and communicative skills. The participating students, who are preparing to be English teachers, need academic socialisation with argumentative skills, research literacies and academic literacies to be able to write their theses. Thesis supervision and teaching activities in the embedded courses also should address students’ tendency to view thesis writing to get a degree rather than intellectual growth, a mindset that is probably shaped by educational system is focused on grades and assessments. This study calls for a shift in educational focus from qualifications to socialisation and subjectification. The study concludes by recommending a balanced, integrated feedback process and postponing local-level corrections to improve feedback effectiveness.
The W&I Insurance as a facilitating tool in the negotiation process for the acquisition of a controlling shareholding
Authors: Farréu Rama dos Santos Barata Filipe Manuel
Published: October 2024

Corporate acquisitions, known in national and international legal jargon as M&A transactions, are based on a demanding, challenging and complex negotiation process, dynamic and phased over time, characterised by its uncertainty. The pre-contractual phase is characterised by an information asymmetry between Buyer and Seller. This informational inequality leads the negotiating parties to take ab initio particular precautions in order to protect their respective interests, setting up mechanisms and designing solutions to safeguard against future pathological scenarios, allowing for the allocation of negotiating risks and providing the negotiating process with legal certainty and security, thereby promoting its predictability and transparency. We propose in this study to analyse the specific features of the W&I Insurance as a tool for mitigating transactional risk and to identify its impact on the negotiation process of company’s acquisitions.
Às voltas com o regime do período experimental
Authors: Falcão David
Published: October 2024

A Lei n.o 93/2019, de 4 de setembro, subtraiu ao elenco de motivos justificativos subjacentes à contratação a termo certo os trabalhadores à procura de primeiro emprego e os desempregados de longa duração. O impulso legislativo assentou no desiderato de promover a contratação sem termo das referidas categorias de trabalhadores o que implicou a ampliação do período experimental para 180 dias. A medida, desde logo, gerou um profícuo debate doutrinário e conduziu à intervenção do TC, em sede de fiscalização sucessiva abstrata da constitucionalidade. Pese embora o TC tenha declarado a inconstitucionalidade parcial da norma relativa à ampliação do período experimental, a decisão não foi isenta de críticas. Por sua vez, na sequência da decisão do douto Tribunal, o legislador lançou mão de uma solução que não só vai além do postulado pelo TC, como contraria a primitiva intenção subjacente ao alargamento do período experimental, tendente a diminuir a resistência das entidades empregadoras em celebrarem contratos de trabalho sem termo. Ora, por nos parecer que se justifica um conjunto de considerações a tecer a respeito, o presente artigo tem por objeto, por um lado, a dissecção dos aspetos gerais do período experimental e, por outro, a análise, em moldes reflexivos, das temáticas mais específicas do regime que geram questões controvertidas.
Monitoreo de cianobacterias como estrategia para el aseguramiento de la calidad del agua potable distribuida en el Área Metropolitana de San Salvador, El Salvador
Authors:   Administración Nacional de Acueductos y Alcantarillados, San Salvador, El Salvador, Ortez Luis , Alvarado Yaneth ,   Administración Nacional de Acueductos y Alcantarillados, San Salvador, El Salvador, Montes Gabriela ,   Administración Nacional de Acueductos y Alcantarillados, San Salvador, El Salvador, Aguilar Alma ,   Administración Nacional de Acueductos y Alcantarillados, San Salvador, El Salvador
Published: October 2024

El lago de Güija posee una superficie aproximada de 45 Km2 y una profundidad máxima de 21 m en época seca, forma parte del complejo lagunar homónimo y su importancia como ecosistema fue reconocida en 2010 tras la obtención de su declaratoria como sitio Ramsar. Dada su ubicación geográfica ejerce una influencia significativa en la calidad del agua de la cuenca alta del río Lempa, por lo que la vigilancia de las comunidades fitoplanctónicas y la relación de estas con diversos factores ambientales relacionados a sus proliferaciones, es de suma importancia para garantizar la seguridad del agua y la salud pública de gran parte de los habitantes del Área Metropolitana de San Salvador (AMSS). En vista de lo anterior, desde febrero del 2021 hasta mayo del 2023, se han realizado muestreos mensuales en 5 puntos de monitoreo dentro del lago, determinándose que, en este, las proliferaciones de cianobacterias están dominadas por los géneros Aphanizomenon, Cylindrospermopsis y Dolichospermum, los cuales se encuentran relacionados al régimen de precipitación pluvial, altos valores de pH y la estratificación de la columna de agua, la cual ocurre entre abril y octubre de cada año.
PENGAWASAN MARITIM EFEKTIF MELALUI IMPLEMENTASI AUTOMATIC IDENTIFICATION SYSTEM (AIS) UNTUK JALUR PELAYARAN SURABAYA-MAKASSAR
Authors: Agung Bachtiar  , Trilia Dewi , Hia Hendrin Agus Franciscus , Zafirawan Rayhan Aulia , Supriyadi Asep Adang
Published: October 2024

Pengawasan maritim yang efektif sangat penting untuk menjaga keamanan dan efisiensi jalur pelayaran, terutama di era globalisasi yang ditandai dengan meningkatnya aktivitas perdagangan internasional. Penelitian ini mengkaji efektivitas implementasi Automatic Identification System (AIS) dalam pengawasan jalur pelayaran Surabaya-Makassar, bagian dari Alur Laut Kepulauan Indonesia (ALKI) II. Metode observasi digunakan untuk mengumpulkan data posisi kapal selama 24 jam melalui situs MarineTraffic dengan interval pengambilan data setiap 15 menit. Data dianalisis menggunakan metode Haversine untuk menghitung jarak antar titik di permukaan bumi berdasarkan koordinat geografis kapal. Hasil penelitian menunjukkan bahwa AIS memberikan informasi real-time dan menyeluruh mengenai situasi maritim, memungkinkan optimalisasi rute, peningkatan keselamatan dan keamanan pelayaran, serta peningkatan efisiensi operasional. Informasi mengenai kecepatan rata-rata kapal dan jarak tempuh penting untuk menilai efisiensi dan keselamatan pelayaran. Rata-rata kecepatan kapal KM. Gunung Dempo adalah 14 knot, dengan total jarak tempuh 757,06 km. Implementasi AIS dalam pengawasan jalur pelayaran Surabaya-Makassar memberikan kontribusi yang signifikan dalam meningkatkan efisiensi dan keamanan maritim, memastikan jalur pelayaran yang lebih aman dan efisien.
IDENTIFIKASI FAKTOR DAN TANTANGAN DI SEKTOR PERUNGGASAN UNTUK MENINGKATKAN KELINCAHAN BISNIS DI AGROINDUSTRI INDONESIA: TINJAUAN LITERATUR
Authors: Lawrenta Mattew , Parung Joniarto , Wibisono Eric
Published: October 2024

The poultry industry in Indonesia, especially the poultry sector, plays a crucial role in ensuring national food security by providing essential animal protein sources. Therefore, business agility is highly necessary to address fluctuating demand issues that can change unpredictably. Many industries in this sector have faced setbacks due to unforeseen shifts in demand. However, in implementing business agility, numerous factors need consideration, such as traditional organizational structures, bureaucratic processes that impede change, and a corporate culture resistant to transformation. This research aims to identify various challenges faced by companies in achieving business agility through a literature review using Publish or Perish software and manual searches on Google Scholar, resulting in the selection and analysis of 23 relevant journals. The findings from the literature review indicate that effective supply chain management, innovative management leadership, technological automation, adaptability to unforeseen events, investment in employee development, and a deep understanding of customer needs are key factors influencing business agility in the poultry industry in Indonesia.
PENERAPAN TEKNOLOGI INDUSTRI 4.0 DALAM LEAN WAREHOUSING: LITERATURE REVIEW
Authors: Pangestu Nadia Angelina Putri , Parung Joniarto , Wibisono Eric
Published: October 2024

Warehouse plays a crucial role in the supply chain by linking material flows between suppliers and customers, and also matching demand with product availability. Operational disruptions in warehouse can lead to decreased customer satisfaction, necessitating effective and efficient warehouse operations. Lean principles, including lean warehousing, are often used to achieve this. Additionally, increasing supply chain complexity makes companies vulnerable to costly errors, leading to broader adoption of industry 4.0 technologies. Various studies have begun integrating industry 4.0 technologies into lean warehousing practices. However, literature reviews on integrating industry 4.0 with lean principles tend to focus on manufacturing area. This study aims to review researches on the application of industry 4.0 technologies in lean warehousing through a literature review. The findings of the literature review indicate that autonomous robots, simulation, horizontal and vertical system integration, and the industrial internet of things are industry 4.0 pillars that are widely applied alongside lean warehousing methodologies and tools. Most studies analyze overall warehouse processes, while others focus on specific processes within the warehouse. Overall, the use of industry 4.0 technologies in lean warehousing leads to significant positive impacts, including increased efficiency and productivity. Further studies are needed to understand how lean warehousing can serve as a foundation for implementing industry 4.0 technologies and to address the issues and challenges in their concurrent application.
Optimising MSMEs B2B Marketing Performance Through Marketing Automation In CRM Strategy
Authors: Yanti Pitri , Ratih Hurriyati  , Vanessa Gaffar  , Puspo Dewi Dirgantari
Published: October 2024

This research investigates the influence of technology readiness and ICT capabilities on marketing automation within B2B MSMEs' CRM strategies. Using quantitative methods in 105 B2B MSMEs employing marketing automation tools, the study employs Structural Equation Modeling (SEM) with Lisrel 8.8 software for analysis. Findings reveal that Technology Readiness significantly impacts ICT Capability, with innovation indicators holding a dominant 67.240 per cent effect. ICT Capability positively influences marketing automation, primarily driven by the use of ICT (84.600 per cent). Marketing automation correlates positively with B2B CRM, notably through message reach (65.610 per cent). B2B CRM, in turn, significantly affects Marketing Performance, emphasising improved customer relationship quality (77.400 per cent) and expanded market influence (42.250 per cent). Notably, technology readiness does not directly impact marketing automation, necessitating ICT capability for practical implementation in customer relationship management. In conclusion, marketing automation enhances B2B MSMEs' marketing performance, contingent on their ICT capabilities, despite the importance of technology readiness.
Factors Affecting Investment Decisions On Millennials And Gen Z
Authors: Annabella Claudia Kurniadi  , Herdinata Christian
Published: October 2024

Since 2019, capital market investors have surged, primarily those under 40 years old, called millennials and Gen Z. However, the financial literacy of Indonesians is low, with victims of fictitious investment cases increasing yearly. This study aims to determine the effect of Financial Literacy (FL) and Investment Experience (IE) on Investment Decisions (ID) with Risk Tolerance (RT) as a mediating variable. The method used is Partial Least Square and involves 185 stock investors aged 18 to 40 years domiciled in Java and Bali, using a purposive sampling technique and the Hair formula. This study found that FL and IE have a significant and positive effect on ID, FL and IE have a significant and positive effect on RT, RT has a significant effect and positive on ID, FL and IE have a significant and positive effect on ID through RT.
Sustainable Organisational Identity In State Higher Education Institutions
Authors: Shinta Ratnawati  , Amin Wibowo  , Rr. Tur Nastiti  , Sari Sitalaksmi
Published: October 2024

This research examines the antecedent, consequence, and moderating factors for sustainable organisational identity. Specifically, based on the Resource View Theory, this research aims to examine the effects of anthropomorphism and agile leadership on sustainable organisational identity, the effect of sustainable organisational identity on competitive advantage, and the moderating effect of planned organisational change between sustainable organisational identity and competitive advantage. The sample was 74 state universities in Indonesia. Variable measurement uses questionaries. Data analysis uses path analysis. Based on data analysis, anthropomorphism positively affects sustainable organisational identity in state higher education institutions. Second, agile leadership positively affects sustainable organisational identity in state higher education. Third, sustainable organisational identity positively affects competitive advantage in state higher education institutions. Fourth, planned organisational change strengthens the positive effect of sustainable organisational identity on competitive advantage in state higher education.
Detection of Efflux pump MexX and MexY genes in Multidrug Resistant Pseudomonas aeruginosa
Authors: Ali Kadhum Attia , Ghassan Enass
Published: October 2024

High antibiotic resistance among Pseudomonas aeruginosa could be viewed as the primary cause of nosocomial infections. In this study, 60 isolates of Pseudomonas aeruginosa were isolated from urine, sputum, burn, ear and wounds swab. The major goal was to determine the relationship between MexX and MexY and the resistance of MDR P. aeruginosa to many drugs. Prevalence of multidrug resistant (MDR) Pseudomonas aeruginosa was 22 isolates (36.66%) and 38 isolates (63.34%) were found to be non-MDR isolates. Moreover, molecular detection of MexX and MexY genes was done for MDR isolates.MexY gene was found in all MDR isolates and MexX gene was detected in 20 (90.9%) MDR isolates. Susceptibility test showed highly significant differences p≤0.01. Highest resistance was found against piperacillin/sulbactam (45%), followed by ceftazidime/avibactam with 33.33%, and by ceftolozane/tazobactam and levofloxacin which shared same percentage at 31.67%. Almost 23.33% were less resistant to both doripenem and colistin, and 25% to tobramycin. All these findings confirmed a positive correlation between the presence of MexX and MexY genes and an increase in the resistance for all antibiotics used in this study the results of which were highly significant at p≤0.01 for all antibiotics. The study found that some antibiotics that had not been studied previously, also had a relationship with the presence of these genes and the resistance of bacteria to antibiotics such as penicillin, unlike it was previously believed that they do not have relation with the efflux pump mechanism in P. aeruginosa and that  this bacterium use other mechanisms to resist them.
Antibiotic Resistance, Biofilm Formation, and Identification of FimH and FimA Adhesion Genes in Uropathogenic Escherichia Coli (UPEC) Isolated from Patients in Baghdad Province
Authors: Hamid Safa A. Abdul , Khoshabeh Ramina M.
Published: October 2024

Urinary tract infections (UTIs) are one of the most common infectious disorders worldwide. The most frequent cause of UTIs is uropathogenic Escherichia coli (UPEC). The current study is designed to assess the resistance of antibiotics, the formation of biofilm, and the detection of adhesion genes in E. coli isolated from patients with UTIs. A hundred and fifty samples were collected from patients with confirmed UTIs in Baghdad province during the period of October 2022 to February 2023. Isolation and identification of E. coli were performed using cultural characteristics, gram staining, and biochemical examination, and the results indicated that 52 (35%) isolates were identified as E. coli. Eleven antibiotic discs were utilized to estimate the sensitivity of E. coli isolates. 98% of isolates were resistant to ampicillin, followed by 75.5% of isolates resistant to both trimethoprim/sulfamethoxazole and fosfomycin, followed by 73.5, 71.4, 67.3, 53.1, and 6.1% of isolates resistant to imipenem, ceftazidime, nitrofurantoin, cefepime, and amikacin. All isolates were sensitive to piperacillin-tazobactam, ciprofloxacin, and aztreonam at 100%, 100%, and 98%, respectively. The microtiter plate method was utilized to estimate the ability of E. coli to form biofilm. The majority of isolates (69.2%; n = 36) were moderate biofilm producers, while 19.2% (n = 10) and 11.5% (n = 6) of isolates were strong and weak biofilm producers, respectively. Polymerase Chain Reactions (PCR) were applied to determine the gene expression level of adhesion genes (fimH and fimA genes). Forty isolates harbored both fimH and fimA genes.
A Relationship of Monoamine Oxidase-A with Serotonin in Violent Antisocial Behavior in Iraqi Prisoners
Authors: Zaal Ali Majeed , Saud Asmaa Mohammed
Published: October 2024

It is thought that the monoamine oxidase-A (MAOA) enzyme, which catalyzes key brain signaling chemicals like serotonin, noradrenaline, and dopamine, indirectly influences antisocial behavior by disrupting the neurotransmitter balance in brain regions and neural networks. This study aims to assess the MAOA enzyme level in serum and serotonin linked to antisocial behavior in cases in the prison of Baghdad City, Iraq. Blood samples were collected from (63) prisoners and (27) control groups, ages 18 years to 65 years, with a mean ± SD of 37.8 ± 8.8, all males, with different prison terms and different crimes for prisoners in the prison at Baghdad City, Iraq. MAOA and serotonin levels were measured in serum in prisoners and healthy men, and the results showed the serum levels of MAOA enzyme and serotonin were decreased in prisoners compared to the healthy (11.5 IU/ml vs. 19.5 IU/ml) and (79 IU/ml vs. 439 IU/ml), respectively, with the observed difference being significant (P < 0.001(. The results of the relationship between education and social violence were: illiterate 11.1%, primary school 27%, secondary 52.4%, and university 9.5%. The median serum level of MAOA and serotonin in the age group 18–39 years was (11.3 IU/ml, 68.3 ng/ml), respectively, and in the age group 40–65 years was (13 IU/ml, 139 ng/ml), respectively.
Synthesis and Study Biological Activity of Some New Substituted Thiazolidin-4-one Derivatives
Authors: Abdulhussein Nooralhuda M. , Abood Zeid Hassan
Published: October 2024

The microwave (MW) method was used to create a series of new thiazolidin-4-one derivatives containing benzothiazole and azo groups. Azoaldehyde derivative A was synthesized via the coupling reaction of 2-aminobenzothiazole diazonium ions and 2-hydroxybenzaldehyde. The resultant azoaldehyde A was then subjected to condensation reactions with the primary aromatic amines using the MW method to give azoimines derivatives S1-S5. Finally, compounds S1-S5 were reacted with α-mercaptoacetic acid by the MW method to generate the thiazolidin-4-one derivatives T1-T5. The novel-produced compounds T1-T5 were identified by FT-IR, 1H NMR, and 13C NMR spectroscopy. The DPPH was used to determine the antioxidant activity of the novel-produced compounds T1-T5. The obtained results for T1 and T5 were excellent as antioxidants in comparison with ascorbic acid, while in the antibacterial study, it was discovered that T2, T3, and T5 were found to be more successful than Gentamycin as a control drug against Staphylococcus aureus in an antibacterial investigation, while T3 was found to be more effective than the reference drug against Escherichia coli.
Developing a Graphical Domain-Specific Modeling Language for Efficient Lightweight Block Cipher Schemas Configuration: LWBCLang
Authors: Qassir Samar Amil , Gaata Methaq Talib , Sadiq Ahmed T. , Taha Imad Fakhri
Published: October 2024

The lightweight block cipher is an encryption technique with negligible computational overhead. Despite its advantages, it faces a substantial challenge. Correct handwriting of the script code for the cipher scheme is a challenge for programmers. In this research, we suggest a new graphical domain-specific modeling language to make it easier for both non-technical users and domain specialists to implement lightweight block cipher schemes. The proposed language, called LWBCLang, is a modular and extensible language that offers graphical components for constructing three essential types of inner block cipher structures. Seven different methods of keystream generation and all the tests of the NIST suite with performance analysis are provided. In the context of its meta-model, LWBCLang's abstract and concrete syntaxes are specified. LWBCLang has been implemented as an internal DSML with Python as the host language. The evaluation of LWBCLang is based on qualitative analysis to demonstrate the language's effectiveness and efficiency. Further benefits of this proposed language are evaluated and discussed in depth in this research.
Enhancing Robustness and Imperceptibility with a Texture-Based Adaptive QIM Approach
Authors: Awad Jalal H.
Published: October 2024

This paper proposes a new approach for image data hiding that aims to improve both robustness and imperceptibility. The proposed approach is based on a texture-adaptive quantization index modulation (QIM) method that takes into account the local characteristics of the image texture to optimize the embedding process. The approach is evaluated using various image datasets and compared to existing state-of-the-art techniques. The results show that the proposed approach achieves better performance in terms of robustness against various image processing attacks, with BERs of zero in some attacks, while maintaining a high level of imperceptibility with PSNRs exceeding 46 decibels. It can be deduced that adaptation and normalization of the embedding strength arguments can enhance the QIM methods’ performance. The proposed approach has potential applications in image authentication, copyright protection, and data hiding.
MRI Image Enhancement Using Multilevel Image Thresholds Based on Contrast-limited Adaptive Histogram Equalization
Authors: Swadi Israa razzaq , Mahdi Tahseen Falih , Daway Hazim G.
Published: October 2024

Magnetic resonance imaging (MRI) creates detailed images by combining a powerful magnetic field with high-frequency radio waves. MRI images need to increase brightness and contrast to facilitate distinguishing diseases. This study aims to improve the MRI images depending on the suggested algorithm, including three main stages. The first is to divide the image into three main areas using Multilevel image thresholds and then improve using CLAHE for each area separately. Finally, these images combine to form one image and improve it again. By analyzing the results and calculating non-referenced quality measures, the proposed method obtained the best quality results compared to the rest of the methods with quality rates of EN(6.14), AG(6.79), and CEM(0.84), which indicates excellent success in increasing clarity in those images.
Enhancing Electrochemical Cells Performance with Modified Ionic Liquids and Deep Eutectic Solvents using Titanium Dioxide Nanoelectrodes- Graphite
Authors: Hasan Bassam Baqer , Salman Taghried Ali , Ayal Asmaa Kadim
Published: October 2024

Ionic liquids (ILs) and deep eutectic solvents (DESs) have been found to be highly effective as electrolytes in TiO2 NTAs-graphite cells when combined with additives that enhance conductivity by reducing the viscosity of these liquids. The presence of CaCl2.6H2O: Acetamide DES with DI water as an additive resulted in a cell voltage of 1.31V and an internal resistance of 19 ohm. This can be attributed to the concentration and quality of the ionic species. The cells exhibited an interesting response to the AlCl3-chloroacetamide IL with dichloromethane DCM as an additive, with a cell voltage of 1.81V and an internal resistance of 5.0 ohm. Once again, this is influenced by the quality and concentration of the ionic species. Furthermore, the cells demonstrated thermal stability during the charging and discharging processes. Additionally, the surfaces of the TiO2 NTAs electrodes were examined, along with the impact of the IL and DES on these electrodes, using SEM and EDXA equipment.
Avalição da viabilidade de esporos de Bacillus clausii em simulação do trato gastrointestinal humano
Authors: Delgado Junior Manoel Armando , Marques Vilela Danielle , Cristina da Silva Brabes Kelly
Published: October 2024

O uso de bactérias probióticas formadoras de esporos como Bacillus spp., tem aumentado devido a capacidade de formar esporos resultando em maior resistência durante os processos de produção, armazenamento e comercialização. O Bacillus clausii está no mercado há mais de 55 anos e é caracterizado pela presença de quatro cepas probióticas (O/C, SIN, N/R e T). Neste estudo o Bacillus clausii, proveniente do produto comercial Enterogermina®, foi obtido em Farmácias e Drogarias do município de Dourados-MS. Para caracterizar Bacillus clausii para uso como probiótico foi realizado a análise de pH 2 e 3, teste de tolerância e hidrolise de sais biliares a 0,3%, teste de tolerância a pepsina e pancreatina, teste de adesão e atividade de hemólise. Nas análises de tolerância ao pH ácido, aos sais biliares, a pepsina e pancreatina, não apresentaram diferenças significativas se comparados com o log de UFC/mL-1 de células iniciais. 67% de se aderir a chapa de aço inox. Apresentou atividade de hidrólise sais biliares e de γ-hemolítica em ágar com sangue. Dessa forma indicando grande potencial probiótico.
المقاربة النصية في سياق سورة المؤمنون
Authors: فضل الدوسري عدنان خالد , جاسم ولاء وليد
Published: October 2024

سورة المؤمنون، هي السورة الثالثة والعشرون في القرآن الكريم، تتميز بأسلوبها الفريد الذي يجمع بين سرد قصص الأنبياء، والتشريعات، والمواعظ الإيمانية. تبدأ السورة بتحديد صفات المؤمنين الحقيقيين، ثم تنتقل بمرونة إلى قصص الأنبياء مثل نوح، وإبراهيم، وموسى، وعيسى، موضحة وحدة الرسالة السماوية عبر التاريخ. تقدم المقاربة النصية تحليلاً لغويًا لهذه السورة بهدف استكشاف محتواها الغني عن طريق فحص بنيتها اللفظية ، بما في ذلك التشابه في الأصوات، والأفعال، والأسماء، والتراكيب النحوية في السياقات المختلفة، مما يكشف عن دقة التعبير القرآني ومعانيه العميقة.
     تعتمد السورة على لغة واضحة عند تناول التشريعات، وتستعمل القصص بفعالية؛ لإيصال المعاني العميقة، وتسهم هذه المقاربة في فهم الروابط بين الآيات وكيفية تكاملها؛ لتشكيل رسالة موحدة، وذلك عن طريق المستويات اللغوية الأربعة: الصوتية، والصرفية، والنحوية (التركيبية)، والدلالية. كما تكشف عن الرموز المستعملة في السورة، مثل الماء الذي يمثل الحياة والنقاء؛ مما يضيف عمقًا إضافيًا لفهم النص القرآني. وتعزز هذه العناصر مجتمعة التأثير الروحي والتشريعي للسورة على القارئ، وتبرز أهمية الرسائل الإيمانية والتوجيهات الأخلاقية التي تقدمها.