bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Influence of Modern Informatization Technology on English Education and Teaching in Colleges and Universities
Authors: Zhang Hui , Wang Suxi
Published: April 2024

With the development of modern informatization technology, how to combine modern informatization technology with English education and teaching in colleges and universities has become a key research direction in the current education sector. This paper proposes English information literacy education and teaching based on linear regression. The research problem and object are identified based on the current situation of English education and teaching in colleges and universities, and then a research design program is developed. Using a combination of linear regression algorithms and statistical analysis software, the mechanism of the influence of modern information technology on English education and teaching is analyzed by example. The results show that the average pre-test score of students at the intermediate level is 83.854 points. In comparison, the post-test score is 89.789 points, and the post-test score is about 5.935 points higher than the pre-test score, which indicates that there is a significant improvement in the English scores of students at the intermediate level after English informatization teaching. Taking English informatization teaching as the dependent variable and “teaching equipment” and “class size” as the independent variables, the regression equation of English informatization teaching = 0.215×teaching equipment+0.144×class size. This study has a far-reaching and positive impact on improving the quality and level of university English teaching, making teaching methods richer and the teaching effect more significant.
Research on the Influence of Cultural Confidence on the Diffusion and Exchange of Music Culture in the Central Plains-Based on Multiple Logistic Analysis
Authors: Gu Na
Published: April 2024

The music culture of the Central Plains is one of the very distinctive and representative national music cultures, and exploring the impact of cultural self-confidence on its dissemination helps to better propose development strategies. According to the construction principle, this paper determines the evaluation index system for the level of cultural self-confidence in music culture in the Central Plains, and a total of 30 evaluation indexes are selected. A multivariate logistic model is constructed to analyze influencing factors by incorporating relevant variable indicators into the statistical analysis. Based on the preliminary interpretation of the indicators, four research hypotheses on cultural self-confidence, communication, and exchange of music culture in the Central Plains are proposed. Sample screening is conducted for the primary audiences of music culture in the Central Plains, and valid data are collected, tested, and correlated. The results show that the overall cultural confidence of the sample is moderately high, with the mean values of the indicators ranging from 3.4086 to 4.0229, 3.1922 to 4.0282, 3.5224 to 3.9935, and 3.3414 to 3.9225, respectively. The multivariate logistic regression coefficient for confidence in the music culture of the Central Plains’ ability to communicate and disseminate is 1.3521, showing a significant positive correlation at the 0.01 level.
The Use of Visual Communication Technology in the Cultural Connotation and Design Expression of Traditional Cultural and Creative Products
Authors: Liu Lu
Published: April 2024

Traditional cultural and creative products need to be combined with cultural connotations on the basis of traditional cultural products, and modern visual communication design laws and design theories are used as the methods to broaden the product display medium and extend the product value. In this paper, we first sort out the cultural connotation of cultural and creative products and the design and development motives and explore the specific implementation path of cultural and creative product design based on visual communication design. Secondly, it studies the extraction of visual elements of traditional cultural and creative product patterns by the SURF image feature extraction method. Firstly, it realizes the acquisition of styling visual elements by the Canny operator in the edge detection algorithm. Then it acquires accurate color visual elements based on the K-Means primary color extraction algorithm improved by the contour coefficient method. In the traditional cultural and creative product design examples, it is found that the average Dice conventional culture coefficient image extraction based on the SURF method is 0.731, and the structural similarity of primary color extraction reaches 0.792 with the original image of traditional culture. Traditional cultural and creative products have a comprehensive evaluation score of between 4.3 and 4.5, which indicates high satisfaction. Carrying out the design of conventional cultural and creative products with visual communication design, its central performance is in visual attractiveness and formal innovativeness in order to burst the vitality of traditional cultural and creative products.
Internet Technology-Driven Innovative Research on the Synergistic Development of Helo Culture Communication and Intelligent Tourism
Authors: Wang Lili
Published: April 2024

This study explores the synergistic development between smart tourism and the dissemination of He Luo culture, employing a coupling model to elucidate their interrelation. Through a theoretical analysis, it establishes a connection between He Luo culture and intelligent tourism, utilizing the entropy weight method to ascertain the significance of various evaluation indicators. An assessment framework is constructed based on selected indicators to gauge the progress of He Luo culture and intelligent tourism. The research develops a coupling degree model to examine their collaborative growth, revealing a transition in the integration of the river Luo culture sector and the tourism industry from a phase of minimal alignment to primarily coordinated development from 2014 to 2020. The coupling and integration degree between tourism and culture industries within a city has seen a significant increase, from a low of 0.41736 to a high of 0.61014, marking an improvement of 0.19278. This investigation provides a theoretical foundation for enhancing Chinas economic development through the joint advancement of He Luo culture and intelligent tourism.
Application of traditional culture in modern cultural and creative product design in the era of artificial intelligence
Authors: Wu Wei
Published: April 2024

This paper obtains design demand keywords from online review data of cultural and creative products and builds a framework of modern cultural and creative product design demand in the era of artificial intelligence by combining with consumption intention. Oriented to integrating traditional culture in the design of cultural and creative products, the graphic image processing technology is used to extract conventional cultural elements and optimize the pattern and image enhancement of cultural and creative products. Then the parametric technology is used to transform the design of traditional cultural symbols and elements. Setting satisfaction scores from five aspects: color, shape, material, function and cultural connotation, using satisfaction index to score the cultural and creative products of traditional culture, and carrying out the test of conventional cultural imagery conveyance of cultural and creative products, “artistic,” “full of representative significance The mean values of “artistic”, “representative” and “cultural value” are 4.573, 4.602, 4.518, and the P value is 0.000, which is significant, and the integration of the essential visual characteristics of the theme design of the cultural and creative products is effective. The works combined with the modern cultural and creative product design framework can highlight the traditional cultural qualities.
A case for cognitive mapping constructive approach to teaching civics in higher education programs design
Authors: Shi Lingling , Sun Yiyang
Published: April 2024

In the context of the information age, Civics education in colleges and universities faces new challenges. Cognitive mapping, an emerging technology, and its application in the design of Civics teaching in college courses is expected to enhance the teaching effect and quality. The purpose of this paper is to explore the use of cognitive mapping in the teaching of Civics in colleges and universities. The study uses the methods of data collection, preprocessing, knowledge extraction, fusion, and map construction to create a cognitive mapping-based model for teaching Civics in colleges and universities. The results show that the model can significantly improve the teaching effectiveness. In the named entity recognition experiments, the precision, recall, and F1 value of the BiLSTM-CRF-GNN model reached 93.47%, 93.58%, and 93.88%, respectively. In addition, the analysis of the hotspots of Civics research shows that the most frequent keywords include “Civics curriculum”, “Civics education” and “teaching practice”. This study not only advances the application of cognitive mapping theoretically, but also provides practical guidance for teaching Civics in colleges and universities, which is of great significance for improving the quality and efficiency of Civics teaching.
Relationship between ESG and Financial Performance of Companies in the Central and Eastern European Region
Authors: Siwiec Karolina , Karkowska Renata
Published: April 2024

Observable climate change and an increase in the frequency of extreme climate events undoubtedly pose challenges for society and business operations. The changes being implemented in sustainability efforts are a response to these challenges. However, the question is how these measures affect companies‘ financial performance.

The study aims to verify the relationship between the reporting of sustainability scores related to three aspects: environmental, social, and corporate governance (ESG). It focuses on the financial performance of companies in the Central and Eastern Europe (CEE) region in 2017–2021. The study will use panel regression and cross-sectional analysis. The results indicate a positive relationship between the disclosure of ESG activities and the financial performance of companies as measured by ROA. It was also observed that for companies operating in the financial sector, the correlation is greater, compared to companies operating in other sectors. This study contributes to the ongoing debate on the environment, society, and governance in the economy.
Artists’ and Creators’ Reframed Relationship with Nature Since the COVID-19 Pandemic
Authors: Duarte Valeria , Gauntlett David
Published: April 2024

This report is part of a wider research project, Reframing Creativity, which studied how the COVID-19 pandemic affected the work and creative practice of professional artists, producers and makers. Here we discuss a specific finding about artists’ and creators’ relationships with nature. After conducting a first round of interviews with 11 participants, we identified that around half of them had talked about having found a valuable connection with nature since the pandemic—even though nature was not a topic in our sequence of questions. This led to a deeper analysis of nature and creativity through a second round of interviews with 11 further participants. For both rounds of interviews, we used a semi-structured questionnaire with a snowball sampling method for recruitment. We conclude that artists and creators developed new meanings and perspectives on their relationship with the outdoors as an unexpected result of the new first-hand experiences they were able to have outside, that is, as a result of the opportunities the pandemic enabled. We also argue that creators face an urgent need to find a healthy balance between the unstoppable advancement of digital technologies, accelerated by the pandemic, and the fundamental need to be connected with the natural world. These new creator-nature connections should be fostered, preserved, and researched further.
Selected Determinants of Health Behaviors of Primary School Teachers in the Kalisz County in Poland
Authors: Kmieć Kamila , Pikala Małgorzata
Published: April 2024

Objectives

The main goal of this paper is to assess the health behaviors of primary school teachers from the Kalisz county in the context of selected sociodemographic determinants.

Material and methods

The study was carried out between September and December 2021 among 500 primary school teachers in the Kalisz county in Poland. The selection of schools for the study was purposive sampling; 22 schools were randomly selected from primary schools in the Kalisz county. Ultimately, 315 correctly completed questionnaires were qualified for the study. The study employed the Authors’ Questionnaire Survey and the following standardized questionnaire: Inventory of Health-Related Behavior (IHB). Calculations were performed using STATISTICA 13.3 PL (TIBCO Software).

Results

The intensity of health behaviors was described as ‘average’ by 61.90% of the respondents. Based on the IHB questionnaire, it was found that the ‘preventive behaviors’ of the respondents had the strongest impact on their behavior and health. In the analyzed group, incorrect health behaviors (low physical activity or sedentary forms of leisure) prevailed.

Conclusions

The study discovered the prevalence of anti-health behaviors, which were dependent on sociodemographic factors. It is necessary to introduce corrective actions aimed at raising teachers’ health awareness and eliminating anti-health behaviors among this professional group.
Calidad sanitaria del agua envasada distribuida en tres municipios del norte de Santander, Colombia
Authors:   Universidad de Santander, Facultad de Ciencias Médicas y de la Salud, Programa Bacteriología y Laboratorio Clínico, Cúcuta, norte de Santander, Colombia, Martínez Karen , Salas Elaysa ,   Universidad de los Andes, Facultad de Odontología, Departamento de Biopatología, Cátedra Microbiología, Mérida, Venezuela
Published: April 2024

El agua envasada ―o embotellada― es una fuente vital de hidratación en favor de la salud. Las empresas de agua embotellada gestionan los recursos responsablemente y tienen como gran reto invertir en ciencia, tecnología, innovación e investigación, y prácticas que mejoran la calidad y conservación del agua. En Colombia, el mercado del agua embotellada se lo disputan cerca de 800 compañías, las cuales parten del agua potable, y le suman tratamientos de microfiltración, nanofiltración, ozonización, ósmosis inversa, luz ultravioleta y pasteurización, entre otros. El objetivo del presente estudio fue evaluar la presencia de aerobios mesófilos, coliformes, Pseudomonas aeruginosa y Salmonella spp. en agua potable tratada envasada producida por empresas de San José de Cúcuta, y comercializada en los municipios de Los Patios, Villa del Rosario y Cúcuta, Colombia. Se recolectaron 50 muestras en diez empresas y se analizaron siguiendo metodologías establecidas en las normas técnicas colombianas. Se determinó la presencia de aerobios mesófilos en un 76 % del total de muestras, coliformes totales en 36 %, coliformes fecales en 28 %, Pseudomonas aeruginosa en 12 % y Salmonella spp. en 0 %, resultados que superan los valores permitidos de acuerdo con lo expuesto por el Ministerio de Salud (1991), en la resolución 12186 de 1991, razón por la cual se debe hacer un seguimiento y control exhaustivo en las etapas del procesamiento y distribución del agua potable tratada envasada, a fin de establecer las medidas correctivas necesarias que aseguren la calidad y reduzcan el riesgo potencial para la salud de los consumidores.
Uso de isótopos ambientales del agua y geoquímica para determinar fuentes de nitrato en el sur del acuífero Cuernavaca
Authors:   Instituto Mexicano de Tecnología del Agua, Coordinación de Hidrología, Subcoordinación de Hidrología Subterránea, Jiutepec, Morelos, México, González-Hita Luis , Mejía-González Miguel A. ,   Instituto Mexicano de Tecnología del Agua, Coordinación de Hidrología, Subcoordinación de Hidrología Subterránea, Jiutepec, Morelos, México, Ortega-Lara Vicente ,   Investigador independiente, México, Carteño-Martinez Blanca ,   Instituto Mexicano de Tecnología del Agua, Coordinación de Hidrología, Subcoordinación de Hidrología Subterránea, Jiutepec, Morelos, México, Aparicio-González Juan C. ,   Instituto Mexicano de Tecnología del Agua, Coordinación de Hidrología, Subcoordinación de Hidrología Subterránea, Jiutepec, Morelos, México, Mañon-Flores Dustin S. ,   Instituto Mexicano de Tecnología del Agua, Coordinación de Hidrología, Subcoordinación de Hidrología Subterránea, Jiutepec, Morelos, México
Published: April 2024

El acuífero Cuernavaca es la principal fuente de agua dulce permanente que sustenta el desarrollo económico y el suministro a la población de la capital del estado de Morelos. En los últimos 30 años, los nitratos en el sur del acuífero Cuernavaca se han incrementado, degradando la calidad del agua subterránea. La identificación del origen del nitrato es fundamental para implementar políticas públicas que controlen y reviertan dicha contaminación. Con base en las características propias de la región, como son tipo de suelo y geología, incremento acelerado de la población, y actividades industriales, agrícolas y recreativas, entre ellas la práctica del golf, se plantean cuatro posibles fuentes de nitrato en la zona de estudio: 1) nitrato del suelo, 2) infiltración de aguas residuales, 3) fertilizantes provenientes de zonas agrícolas, y 4) fertilizantes provenientes de campos de golf. En la porción sur del acuífero Cuernavaca, los datos geoquímicos y los isótopos ambientales del agua (δ18O, δ2H, δ3H) indican que la contaminación por nitrato proviene principalmente de aguas residuales. Asimismo, indican que el flujo profundo aporta arsénico a algunos aprovechamientos subterráneos. Los resultados también muestran correlación entre las concentraciones del nitrato y del uranio en el acuífero. El registro periódico de los datos isotópicos permitió también determinar la línea de agua meteórica de la zona del acuífero Cuernavaca.
Modelo para mejorar la gestión del suministro de agua potable para los habitantes de la Ciudad de México
Authors:   Instituto de Investigaciones Dr. José María Luis Mora, Ciudad de México, México, Silva Jorge
Published: April 2024

El objetivo de esta investigación es diseñar un modelo para mejorar la gestión del suministro de agua potable para los habitantes de la Ciudad de México, considerando que esta urbe es una de las que cuentan con mayor número de población en el mundo y tiene una economía e infraestructura robustas. Por ello, gestionar el recurso es un reto por los múltiples problemas que se suscitan. La metodología utilizada fue de corte cualitativo, en la que se revisó literatura sobre el tema y se diseñaron entrevistas semiestrucuturadas para aplicarse a 17 directores vinculados con la gestión del suministro de agua potable en la ciudad situados en el Sistema de Aguas de la Ciudad de México (Sacmex) y en las 16 alcaldías, tomando como base el modelo de Hooper. Los resultados y su discusión muestran que de las 10 categorías del modelo destaca la carencia presupuestal para el desempeño óptimo de la gestión, y las reformas necesarias en la normatividad hídrica que permita agilizar los procesos y fortalecer su evaluación y seguimiento. Considerando estas dos subcategorías se podrían mejorar en gran medida las demás: la toma de decisiones coordinada; la respuesta en la toma de decisiones; los objetivos, su cambio y finalización; el diseño organizacional; la formación y el desarrollo; la información e investigación; la responsabilidad y el seguimiento; y las funciones de los sectores público y privado. Sin embargo, se requiere voluntad política, una coordinación eficaz entre los principales involucrados y concientización por parte del sector social. Finalmente, se ofrecen hallazgos sobre los cuales se puede profundizar en próximas investigaciones.
Reliability and Validity of the Indonesian Version of the Dual Filial Piety Scale
Authors: Sugianto Dicky , Liem Andrian , Sinaga Nurtaty
Published: April 2024

Filial piety (bakti) is a familiar concept within societies in the Chinese diaspora, including multicultural Indonesian society. This concept describes the relationship dynamics between parents and children. It includes obedience and affection that motivate a range of behaviours, including caring for elderly parents. Filial piety becomes an important construct to be studied in its relationship with the psychological process both in children and parents. A conceptual model commonly used to describe filial piety is the Dual Filial Piety Model, which has been operationalized in the Dual Filial Piety Scale (DFPS). This study aims to evaluate the psychometric properties of DFPS which have been translated into Bahasa Indonesia through forward and backward translation. Data was collected from 202 participants recruited using nonprobability sampling. The result suggests that the Indonesian version of DPFS shows adequate reliability and validity. The instrument was found to be consistent with its theoretical model. It can be used for further research on filial piety in Indonesian society.
The Legal Challenges in Environmental Protection and Accountability: A Study in Saudi Law
Authors: Badran Doaa Mohamed Ibrahim , Al-Amari Khalid bin Saleh Y , Abdelhady Mahmoud Abdelgawwad
Published: April 2024

Objective: The research delves into legal challenges regarding environmental protection and accountability in Saudi Arabia, aiming to understand the governing legal frameworks and practical implementation hurdles. It seeks to identify steps to improve the effectiveness of environmental law and enhance protection and accountability.
 
Theoretical Framework: The theoretical framework of this research is based on the concept of legal liability in environmental protection and its fundamentais role in any legal system. The study also discusses the relationship between the effectiveness of the legal system and its feasibility.
 
Method: The research adopts a descriptive-analytical approach, by describing and analyzing the actual reality of the legal challenges in the field of environmental protection and accountability. The study relies on a range of primary and secondary sources, as well as scholarly publications.
 
Results and Discussion: Saudi's environmental strategy prioritizes sustainable development and preserving resources for future generations. Laws enforce environmental responsibilities and promote sustainable practices, aiming to reduce pollution and ensure accountability. This underscores the vital role of environmental protection laws in achieving sustainability and safeguarding the environment.
 
Research Implications: Enhancing awareness of the importance of legal responsibility in environmental protection is crucial, as it supports efforts to update environmental laws and enhance international cooperation in the environmental field.
 
Originality/Value: This research offers a comprehensive analysis of legal responsibility in Saudi Arabia's environmental protection, addressing challenges in law implementation and suggesting practical recommendations for updating laws and enhancing international cooperation.
A pobreza como um dos efeitos em cenários de catástrofes econômicas: a crise de 1929 na perspectiva do Direito internacional das catástrofes
Authors: Guerra Sidney
Published: April 2024

O Direito Internacional das Catástrofes se propõe a criar regulamentação suficiente para prevenir, minimizar e superar catástrofes globais. Neste estudo priorizou-se, a título exemplificativo, a ocorrência de uma grande crise econômica que abalou o sistema internacional. Assim, o estudo se propôs a apresentar alguns aspectos de episódios produzidos na década de 20, do século passado, que culminaram na severa crise de 1929, que produziu o que foi denominado de catástrofe econômica. A partir da compreensão da existência de cenários catastróficos produzidos por questões econômicas, foi possível identificar alguns problemas no sistema internacional, sendo certo que neste estudo, a situação da extrema pobreza ganhou destaque. Ao final, são identificadas algumas mudanças no sistema internacional e, no direito que a regula, bem como desafios e tendências que indicam o surgimento do Direito Internacional das Catástrofes.
Competency mediates the influence of talent, interpersonal skills, and motivation on work ethic in entrepreneurial students
Authors: Kusnilawati Nunik , Kuswardani D. C. , Utaminingsih Adijati , Sulistyawati Ardiani Ika , Kusuma Linda
Published: April 2024

Work ethic is currently a strategic entrepreneurship issue. Gaps were still found in previous studies. This study uses an alternative research model by placing the competency variable as a mediating variable. Such a model is the novelty of this research. The research aims to analyze the influence of talent, interpersonal skills, and motivation variables on work ethic through competency mediation in entrepreneurial students in Semarang. This research uses a sample of 120 respondents. Data was collected using a questionnaire instrument and distributed to respondents via Google Forms. The measurement scale uses a Likert scale with five response points. This research processed data using SmartPLS, starting with validity and reliability tests, then descriptive statistical analysis, and ending with inferential analysis. This study uses a significance-level test to test the hypothesis. Valid and reliable data can be identified through validity and reliability tests. The analysis results show that work ethic is influenced by 62 percent by the interpersonal skills-motivation variable, while competence is influenced by 59 percent by the talent-interpersonal skills-motivation variable. The results show that competence plays a role as a mediation between interpersonal skills and work ethic, as well as between motivation and work ethic, but does not mediate between talent and work ethic.
Online Two-Dimensional Liquid Chromatography for Determination of Selected Flavonoids in Wine Samples
Authors: Abdulmehdi Raid , Rasheed Ashraf Saad
Published: April 2024

The development of two-dimensional chromatography systems is crucial in many scientific fields as it provides improved separation efficiency and selectivity of complex mixtures. By separating compounds based on two independent properties, these systems can offer a more detailed understanding of sample composition. This increased level of detail is particularly useful in industries such as pharmaceuticals, environmental analysis, and proteomics, where complex mixtures with similar properties need to be differentiated. A new chromatography system with two dimensions was developed to separate and quantify specific flavonoids in German wine samples. The first dimension used a homemade hydrophilic interaction liquid chromatographic column, while the second dimension used a reversed-phase liquid chromatographic column. This 2D ZIC-HILIC x RP technique was able to address the problem of peak overlapping that commonly occurs in one-dimensional liquid chromatography, especially for natural products. The study presents analytical and statistical data for both techniques, and suggests that the use of two-dimensional chromatography can improve the resolution of conventional one-dimensional liquid chromatography. In a conventional ZIC-HILIC-HPLC system, apigenin and naringenin were detected together but were successfully separated and measured using a 2DLC system. The limits of detection (LOD) for apigenin and naringenin were found to be 0.0705 µg/mL and 0.1300 µg/mL, respectively, while the limits of quantification (LOQ) were 0.2136 µg/mL and 0.3939 µg/mL, respectively. The recovery rate for both compounds was over 99%, with a relative standard deviation (RSD) of less than 1.5%. The linearity range for both compounds was between 0.005 µg/mL to 10 µg/mL, and the correlation coefficient (r2) was determined to be 0.9998. For hesperidin and rutin, the LOD and LOQ were found to be 0.0336 µg/mL and 0.1018 µg/mL, and 0.0120 µg/mL and 0.0363 µg/mL, respectively. The linearity range for both compounds was between 0.005 µg/mL to 12 µg/mL, and the correlation coefficient (r2) was determined to be 0.9999.
Swelling Potential and Mineralogy of Al-Hartha City Soil in Basrah-Southern Iraq
Authors: Younis Saja N. , Mahmood Ra’id A. , Alsaad Harith A.
Published: April 2024

Mineralogical and geotechnical properties used to analyse the swelling potentials of Al-Hartha City. According to mineralogy, montmorillonite is a dominated clay mineral (33.61%) followed by montmorillonite-chlorite (33.34%), kaolinite (9.18%) and illite (5.38%). While calcite, Quartz, Feldspar, and dolomite are non-clay minerals that are also present. According to geotechnical analysis, the percent of clay range between 9-42% with an average of 25.5%, silt 55-80% with an average of 67.5% and sand 0-17% with an average of 8.5%. While liquid limits and plasticity index are, respectively, 10–25% with an average of 17.5% and 35%–51% with an average of 43%. According to the unified soil classification system (USCS), these soils are mainly low plasticity lean clay soils (CL) and 10% classified as medium stiff elastic silt (MH). According to activity values, soils are primarily inactive-(70%), normally active-(20%), active-(10%), and their consistency is plastic. according to an assessment of soil expansivity based on index properties and activity, a significant amount of the soil is expansive. Additionally, there is an agreement between the results of the mineralogical tests performed on these soils and the results of the measures of soil expansivity obtained from the evaluation of the swelling of the soil based on assessments of its index properties.
Reactivation of Ramadi-Musaiyib Fault-Najd Faults System, Iraq
Authors: Ramthan Ali , Chlaib Hussein Kh.
Published: April 2024

Nine earthquakes inside Mesopotamia Plain from 2016 to 2018 were analyzed. Three seismic networks have been relied on to relocate these events and know their responsible fault. These networks are; Mesopotamian Seismological Center, Al-Refaei Seismic Array and Iranian Seismological Center. The results showed that the root mean square (RMS) values for all relocated events ranged between 0.002-0.997. The results of the error ellipse ranged from 0.24 - 4.17 km with longitude and 0.76 - 8.24 km with latitude. The new locations of these events are on or near the Ramadi-Musaiyib Fault. This means that the Ramadi-Musaiyib Fault, which belongs to the Najd fault system, is currently in reactivation.
Analysis of the Effect of Peristaltic Transport Flux on Channel Wall: Bingham Fluid as A Model
Authors: Al-Khafajy Dheia G. Salih , Bribesh Fathi Ali M , Thoubaan Mary Ghadbaan
Published: April 2024

This study is concerned with analyzing the peristaltic flow of Bingham fluid through an irregular tube with a short wavelength “relative to channel width” and using the governing equations of Bingham fluid in the Navier-Stokes equations in the Cartesian coordinate system. Significant results of the problem were obtained and analyzed using the Wolfram-Mathematica Computational Notebook.
Topology-Based Modularity and Modularity Density for Detecting Protein Complexes: A Comparative Study
Authors: Abdulsahib Safa Ahmed , Attea Bara'a Ali
Published: April 2024

Binary relations or interactions among bio-entities, such as proteins, set up the essential part of any living biological system. Protein-protein interactions are usually structured in a graph data structure called "protein-protein interaction networks" (PPINs). Analysis of PPINs into complexes tries to lay out the significant knowledge needed to answer many unresolved questions, including how cells are organized and how proteins work. However, complex detection problems fall under the category of non-deterministic polynomial-time hard (NP-Hard) problems due to their computational complexity. To accommodate such combinatorial explosions, evolutionary algorithms (EAs) are proven effective alternatives to heuristics in solving NP-hard problems. The main aim of this study is to make a close examination of the performance of the EAs where modularity and modularity density are selected as two different objective functions. Topology-based modularity and topology-based modularity density are designed to examine the detection ability of the EAs and to compare their performance. To conduct the experiments, two yeast Saccharomyces cerevisiae PPINs are used and evaluated under nine evaluation metrics. The results reveal the potential impact of the topology-based modularity density to outperform the counterpart modularity functions in almost all evaluation metrics.
Islamic QA with Chatbot System Using Convolutional Neural Network
Authors: Anggraini Ratih N.E. , Tursina Dara , Sarno Riyanarto
Published: April 2024

Many questions and answers about Islamic law are scattered on the internet and have been explained repeatedly by various sites. One solution is presented by the website www.piss-ktb.com, which creates a web-based source of information in the form of Frequently Asked Questions (FAQ). However, web-based FAQs have a weakness: users still have to browse through the available questions one by one according to the questions they want to know the answers to. Browsing through thousands of FAQs is inefficient and exhausting.
Thus, a chatbot system can become a better alternative to the FAQ website. Still, chatbots are difficult to use because most of their conversations are  hard to understand. A single character error will cause the system to misunderstand its meaning. In reality, users expect a chatbot that can understand everyday language. Thus, it is necessary to develop a chatbot system that can understand various common sentence combinations  in everyday language and understand the meaning of words. In addition, it should be able to predict answers automatically to various kinds of questions and requests, even though the initial training data is relatively low. Therefore, this study aims to develop a system that can provide answers automatically based on user commands in natural language using Global Vectors for Word Representations (GloVe), Convolutional Neural Networks (CNN), and Transfer Learning techniques. The result shows that the use of transfer learning and the Nadam optimizer can improve the system’s performance.
Cloud-Based E-Government (CBEG): A Systematic Literature Review
Authors: Alkhilani Wissam H. S. , Atan Rodziah Binti , Abdullah Salfarina Binti , Jusoh Yusmadi Yah Bt
Published: April 2024

The field of cloud-based electronic government (CBEG) is still expanding. Some conflicting results have been published regarding the factors influencing the adoption of CBEG. The paper aims to review the literature and understand the status of CBEG and the factors behind its adoption. Specific keywords related to the topic were used to extract articles from reliable databases. An extensive review was done on a total of 41 articles published between 2016 and August 2022. The findings showed that there has been an increase in the number of articles related to CBEG, specifically in the public sector. The review also showed that the quantitative approach outperformed other approaches. The Technology Organization Environment (TOE) framework and Diffusion of Innovation (DOI) were used in the majority of the reviewed papers. Structural equation modeling (SEM) was applied intensively in the reviewed papers. The most important factors for CBEG adoption are top-level management support, security, compatibility, relative advantage, complexity, and privacy. Future studies are recommended to expand the scope of inclusion criteria, conduct more empirical studies on CBEG, and deploy mediators and moderators. Empirically, combining more theories can explain more about the adoption of CBEG. The findings help decision-makers better understand the predictors of the successful adoption of CBEG.
Adsorption of the Color Pollutant onto NiO Nanoparticles Prepared by a New Green Method
Authors: Ali Omar Sadiq , AL-Mammar Dunya Edan
Published: April 2024

Green synthesis methods have emerged as favorable techniques for the synthesis of nano-oxides due to their simplicity, cost-effectiveness, eco-friendliness, and non-toxicity. In this study, Nickel oxide nanoparticles (NiO-NPs) were synthesized using the aqueous extract of Laurus nobilis leaves as a natural capping agent. The synthesized NiO-NPs were employed as an adsorbent for the removal of Biebrich Scarlet (BS) dye from aqueous solution using adsorption technique. Comprehensive characterization of NiO-NPs was performed using various techniques such as atomic force microscopy (AFM), Fourier transform infrared (FTIR), X-ray diffraction (XRD), Brunauer-Emmett and Teller (BET) analysis, and scanning electron microscopy (SEM). Additionally, operational parameters including adsorbent weight, adsorption duration, temperature, pH value, and initial BS dye concentration were optimized for the adsorption process. Isotherm analysis indicated a better fit of the Langmuir model with equilibrium experimental data than the Freundlich model. The kinetic study revealed that the Pseudo-second-order (PSO) model was more suitable to represent the adsorption process compared to the Pseudo-first-order (PFO) kinetic model. Thermodynamic analysis encompassing the changes in Gibbs free energy (∆G˚), enthalpy (∆H˚), and entropy (∆S˚) unveiled that the adsorption of BS dye onto NiO-NPs was a spontaneous endothermic process with an increase in the randomness.
Credit Card Fraud Detection Challenges and Solutions: A Review
Authors: Saad Sumaya , Nadher Ibraheem , Hameed Sarab M.
Published: April 2024

Credit card fraud has become an increasing problem due to the growing reliance on electronic payment systems and technological advances that have improved fraud techniques. Numerous financial institutions are looking for the best ways to leverage technological advancements to provide better services to their end users, and researchers used various protection methods to provide security and privacy for credit cards. Therefore, it is necessary to identify the challenges and the proposed solutions to address them.  This review provides an overview of the most recent research on the detection of fraudulent credit card transactions to protect those transactions from tampering or improper use, which includes imbalance classes, concept drift, and verification latency problems using machine learning and deep learning. It also provides valuable information for academic and industrial researchers and opens new avenues for research aimed at developing robust fraud detection systems.
Mining Deviations in Document Writing Style through Vector Dissimilarity
Authors: Kadhim Nasreen J.
Published: April 2024

Doubts arise about the originality of a document when noticing a change in its writing style. This evidence to plagiarism has made the intrinsic approach for detecting plagiarism uncover the plagiarized passages through the analysis of the writing style for the suspicious document where a reference corpus to compare with is absent.
     The proposed work aims at discovering the deviations in document writing style through applying several steps: Firstly, the entire document is segmented into disjointed segments wherein each corresponds to a paragraph in the original document. For the entire document and for each segment, center vectors comprising average  weight of their word  are constructed. Second, the degree of closeness is calculated through applying Cosine similarity to measure for each segment, the deviation of its center vector from the center vector of the entire document. Additionally, word n-gram length will be investigated to show its effect on the proposed system performance wherein, center vectors are computed considering word n-grams for different values of n (n= 1, 2, and 3).
Performance evaluation of the proposed method was accomplished through the use of Precision, Recall, F-measure, Granularity, and Plagdet as evaluation measures. Moreover, PAN-PC-09 and PAN-PC-11 were used for detecting intrinsic plagiarism as evaluation corpora. It is shown that the proposed approach has achieved results that are comparable to the state-of-the-art methods. Positive impact was observed through discovering deviations in document writing style by computing weight vectors dissimilarity rather than calculating the difference between the word n-grams that exist in segments and their corresponding word n-grams in the suspicious document. Furthermore, when considering the length of word n-gram, better results were recorded for system performance when word bi-grams was used compared to word uni-grams and word tri-grams.
Crescent Moon Visibility: A New Criterion using Deep learned Artificial Neural-Network
Authors: Allawi Ziyad T.
Published: April 2024

Many authors investigated the problem of the early visibility of the new crescent moon after the conjunction and proposed many criteria addressing this issue in the literature. This article presented a proposed criterion for early crescent moon sighting based on a deep-learned pattern recognizer artificial neural network (ANN) performance. Moon sight datasets were collected from various sources and used to learn the ANN. The new criterion relied on the crescent width and the arc of vision from the edge of the crescent bright limb. The result of that criterion was a control value indicating the moon's visibility condition, which separated the datasets into four regions: invisible, telescope only, probably visible, and certainly visible. This criterion was used on the dataset for ANN learning to compare its efficiency with the actual moon visibility events.
Synthesis and Characterization of some new heterocyclic derivatives from aromatic carbonyl ‎compounds and carboxylic acids with Evaluation some of them for biological activity
Authors: Al-Khazraji Shaima Ibraheem , Ahamed Luma S. , Ali Rana Abid
Published: April 2024

In this research investigation, a total of eighteen diverse tetra- and penta-lateral cyclic compounds were synthesized. These included 1,3,4-thiadiazole, thiazolidin-4-one (via an alternative method), 1,2,4-triazole, carbothioamide, thiazole-4-one, azetidin-2-one, and oxazole. The synthesis procedure entailed a sequence of reactions. The thiazolidine-4-one 1 was obtained by reaction p-aminobenzoic acid with thiosemicarbazide, followed by treatment with p-tolualdehyde to produce Schiff base 2. Reaction Schiff base 2 with mercaptoacetic acid in dry benzene was carried out to produce thiazolidine-4-one 3. In another synthesis pathway, the esterification of p-nitro benzoic acid with ethanol in the presence of sulfuric acid was obtained to formation of compound 4. Compound 4 was subsequently reacted with thiosemicarbazide, yielding compound 5. Cyclization of compound 5 was then achieved using 4% sodium hydroxide solution. This formed the 1,2,4-triazole heterocycle, designated compound 6. Thiosemicarbazone 7-9 were prepared by reaction of thiosemicarbazide with different aldehydes. Additionally, 2-substituted-1,3-thiazolidine-4-one derivatives 10-12 were synthesized through the reaction of thiosemicarbazone with chloroacetic acid in the presence of anhydrous sodium acetate. The Oxazole derivative 15 was obtained through a series of reactions starting with the reaction of p-amino benzoic acid with ethyl chloroacetate, resulting in compound 13. Compound 13 was then treated with urea to obtain compound 14, followed by a reaction with 4-phenyl phenacyl bromide to yield the final product, the Oxazole derivative 15. The 2-aminooxadiazole derivative 16 was synthesized by reaction urea with 4-bromoacetophenone which was reacted with 4-bromobenzaldehyde to produce Schiff base derivative 17. Finally, β-lactam 18 is obtained through reaction Schiff base with chloroacetyl chloride in the presence of triethyl amine. FT-IR, 1H-NMR, and 13C-NMR spectroscopy were used to confirm their proposed structures. Moreover, the antibacterial and antifungal activities of certain synthesized compounds, specifically 2,3,6,11,13,15,17, and 18, were assessed against Staphylococcus aureus, Escherichia coli, and Candida albicans, demonstrating encouraging outcomes.Keywords: Antibacterial, antifungal activity, oxadaizole, heterocyclic derivatives, Oxazole.
Effect of Anise Seeds (Pimpinella anisum) Oil Extract on Some Fertility Parameters in Albino Male Mice
Authors: Weli Sardar M. , Hama Abdullah A. , Mohammed Othman A. , Salih Sabiha S. , Ali Fatimah M. , Shareef Osama H.
Published: April 2024

Anise is an aromatic plant which is used in traditional medicine and pharmaceutical industry. The main components of anise seed are anise alcohol, p-anisaldehyde, estragol, acetophenone, limonene and pinene, while the volatile oil found in anise is anethole. The antioxidant, antimicrobial, anticonvulsant and analgesic properties of anise seeds and oil have been confirmed by various studies. The current study was designed to study the effects of oral administration of anise oil on the reproductive capacity of adult male mice by examining certain physiological parameters such as measuring the serum testosterone level, counting the number of sperm, sperm motility and abnormal sperm morphology. A total of 36 male mice were used and randomly divided into three equal groups. Group1 received corn oil (control), T1 received anise oil in a dose of  0.043  gm/kg B.wt , and T2 received anise oil in a dose of 0.086 gm/kg B.Wt orally. The above mentioned parameters were examined at the end of three weeks of administration for six animals of each group. As well as, the examinations were repeated at the end of six weeks of administration for the rest of the animals. The results exhibited that treatment with anise oil led to a significant increase in the level of testosterone, sperm count and motility. Furthermore, abnormal morphology of the sperms decreased significantly. In conclusion, it can be said that the administered doses of anise oil could have led to improve the fertility in male mice.
Pemberdayaan Masyarakat Desa Dalam Mengembangkan Pariwisata dan Ekonomi Kreatif di Desa Wisata Cemagi Kabupaten Badung
Authors: Ni Nyoman Arini  , Mekarini Ni Wayan , Wartana I Made Hedy , Clarissa Sarita Vania , Sunata I Made
Published: April 2024

Program Pengabdian kepada Masyarakat (PKM) melalui KKN (Kuliah Kerja Nyata) di Desa Cemagi Tahun 2023, melanjutkan upaya kerjasama selama tiga tahun berdasarkan Memorandum of Understanding (MOU) dengan Universitas Triatma Mulya, bertujuan untuk mendongkrak pembangunan daerah hingga tahun 2025. Program Kegiatan KKN Fakultas Bisnis dan Pariwisata, Universitas Triatma Mulya ini berlangsung selama lima minggu pada 16 Januari hingga 17 Februari 2023 ini berfokus pada pemberdayaan masyarakat desa untuk meningkatkan pariwisata dan ekonomi kreatif. Penelitian ini diawali dengan inisiatif KKN tahun 2023 yang memadukan proyek universitas dan masyarakat di Desa Cemagi dengan tahapan perencanaan, pelaksanaan, monitoring dan evaluasi. Upaya yang dilakukan tim KKN antara lain bersih-bersih pantai, kelas memasak, video promosi, edukasi literasi keuangan, pemasangan billboard, pengajaran bahasa Inggris dan matematika dasar kepada anak-anak prasekolah, serta lomba kesadaran pemilahan sampah dan pengetahuan. Selesai sesuai jadwal, kegiatan ini memberikan manfaat yang signifikan bagi perekonomian desa, pendidikan, dan lingkungan. Selain itu, kegiaran ini dapat membangun hubungan positif antara mahasiswa dan masyarakat desa sehingga menghasilkan kolaborasi yang berkelanjutan antara Universitas Triatma Mulya dan Desa Cemagi untuk dapat membantu dalam pengembangan berbagai program pembangunan berkelanjutan