bluuebunny/crossref_metadata_2025 huggingface dataset:
Liderazgo del directivo en la gestión escolar
Authors: Medina Moncayo Karina Nilda , Salgado Silva Jordy Fabricio , Zuñiga Delgado Mireya Stefania
Published: April 2024

El liderazgo directivo se define por la capacidad del directivo a cargo para motivar a su equipo en el cumplimiento de la visión institucional para llevar a cabo los objetivos usando los métodos legales y necesarios para el efecto de este. Por lo tanto, el liderazgo de los directores es uno de los factores que contribuyen a la calidad educativa, debido al cumplimiento de la función asignada a cada elemento que compone el cuerpo educativo, esto se refleja de manera directa e indirectamente en el aprendizaje de los educandos. El objetivo de esta analizar la incidencia del liderazgo del directivo en la gestión escolar de las Unidades Educativas “Península de Santa Elena” y “Eugenio Espejo” mediante la aplicación del enfoque investigativo cuali-cuantitativo para mejorar los procesos administrativos.. Los resultados de la investigación determinan la necesidad de un liderazgo más democrático que permita la participación de cada actor educativo. Así mismo, se refleja que el líder tiene carencias en el dominio de la tecnología, falta de conocimientos y estrategias de liderazgo directivo, limitantes en los procesos comunicativos lo que no contribuye al manejo adecuado de la institución para ofrecer un servicio educativo de calidad.
Uso de herramientas y tecnologías emergentes en la enseñanza de la educación superior
Authors: Solano Maza Luiggi Oscar , Farías Gonsález María José , Fernández Pereira Mariana Dolores , Porras Fernández Martha Ileana
Published: April 2024

El uso de herramientas y tecnologías emergentes en la educación superior ha transformado los métodos de enseñanza, mejorando la accesibilidad, la interactividad y la personalización del aprendizaje. El estudio tuvo como objetivo investigar el impacto del uso de herramientas y tecnologías emergentes en la enseñanza de la educación superior, centrándose en su influencia en la eficacia del aprendizaje, la participación estudiantil y la calidad educativa. Se llevó a cabo un estudio longitudinal que incluyó la implementación de diversas herramientas tecnológicas en un entorno educativo universitario. Se emplearon encuestas, análisis de datos cualitativos y cuantitativos, así como seguimiento de indicadores de rendimiento académico para evaluar el cambio en la dinámica de enseñanza-aprendizaje. La aplicación de tecnologías emergentes demostró mejoras significativas en la participación activa de los estudiantes, su nivel de compromiso y la comprensión del material. Los datos recopilados sugieren un aumento en los índices de retención y el rendimiento académico, así como una mayor satisfacción de los estudiantes con los métodos de enseñanza innovadores. El uso estratégico de herramientas y tecnologías emergentes en la educación superior puede ser un catalizador para la mejora sustancial en la calidad de la enseñanza y el aprendizaje. Estos hallazgos respaldan la importancia de la integración continua de tecnologías innovadoras en los entornos educativos, con el potencial de ofrecer experiencias educativas más dinámicas, personalizadas y efectivas.
BEST PRACTICES FOR SUCCESSFUL HOUSEHOLD STRATEGIES IN ECONOMICALLY DEVELOPED COUNTRIES
Authors: Хайрутдинов А.Т.
Published: April 2024

Для каждого государства актуальной задачей является рост эффективности экономики и сохранение её инвестиционной привлекательности. В решении данной проблемы необходимо задействовать все доступные ресурсы государства: финансовые и трудовые ресурсы, интеллектуальные способности населения. В этом плане крайне важным ресурсом представляется сфера, где происходит непрерывное воспроизводство человеческого капитала – домохозяйства. В представленной статье рассматривается передовой опыт успешных стратегий домохозяйств в экономически развитых странах. Целью работы является анализ передового опыта успешных стратегий домохозяйств в экономически развитых странах. В ходе анализа собранной информации установлено, что развитие домохозяйств и приумножение их ресурсов является одним из приоритетных направлений внутриэкономической политики государства. Полученные результаты анализа передового опыта домохозяйств могут быть использованы в сфере государственного управления и финансов. Вывод: в передовых странах домохозяйства не только обеспечивают страну необходимой рабочей силой и стимулируют развитие экономики посредством колебания спроса на товары, но и обеспечивают рост производства, необходимого для удовлетворения спроса. Кроме того, в секторе домохозяйств содержатся определенные финансовые и инвестиционные ресурсы в виде личных гражданских сбережений, которые государство может использовать для развития социально-экономической системы.

For each state, the urgent task is to increase the efficiency of the economy and maintain its investment attractiveness. In solving this problem, it is necessary to use all available resources of the state: financial and labor resources, intellectual abilities of the population. In this regard, an extremely important resource is the sphere where the continuous reproduction of human capital occurs - the household. This article examines the best practices of successful household strategies in economically developed countries. The purpose of the work is to analyze the best practices of successful household strategies in economically developed countries. During the analysis of the collected information, it was established that the development of households and the increase in their resources is one of the priority areas of the state’s internal economic policy. The results of the analysis of the best practices of households can be used in the field of public administration and finance. Conclusion: in advanced countries, households not only provide the country with the necessary labor force, not only stimulate economic development through fluctuations in demand for goods, but also ensure the growth of production necessary to meet demand. In addition, the household sector contains certain financial and investment resources in the form of personal savings of citizens, which the state can use to develop the socio-economic system.
LEGAL REGIME OF BONUSES (BONUS CONDITIONAL UNITS) OF MARKETPLACES AND OTHER PARTICIPANTS CONSUMER MARKET
Authors: Волкова М.А. , Шикунов Е.С.
Published: April 2024

В статье проводится сравнительный анализ правового режима бонусов (бонусных баллов), предлагаемых программами лояльности многих маркетплейсов и иных участников потребительского рынка. В связи с быстро растущей популярностью бонусных программ неизбежно стали возникать споры между участниками программ и их операторами, связанные с правовой неурегулированностью как самих программ лояльности, так и предлагаемых в их рамках льгот (бонусов) для участников. Исследование ряда судебных решений позволяет сделать вывод об отсутствии однозначного подхода правоприменителя к правовой природе бонусных баллов, что приводит к нарушению прав потребителей, использующих их при приобретении товаров, работ и услуг. По результатам исследования авторами отмечается необходимость законодательного урегулирования деятельности маркетплейсов в целом. Сделан вывод о возможности отнесения условных единиц программ лояльности к токенам (цифровым правам) в случае заключения договора в сети Интернет, или иным имущественным правам при заключении договоров традиционным способом. Авторами сформулирован ряд предложений по изменению действующего законодательства путем внесения дополнений в Закон РФ «О защите прав потребителей», учитывающих возможность частичного использования в расчетах начисленных баллов (бонусов) и иных условных единиц».

The article provides a comparative analysis of the legal regime of bonuses (bonus points) offered by the loyalty programs of many marketplaces and other participants in the consumer market. Due to the rapidly growing popularity of bonus programs, disputes inevitably began to arise between program participants and their operators related to the legal unsettlement of both the loyalty programs themselves and the benefits (bonuses) offered within their framework for participants. A study of a number of court decisions allows us to conclude that there is no clear approach from the law enforcer to the legal nature of bonus points, which leads to a violation of the rights of consumers who use them when purchasing goods, works and services. Based on the results of the study, the need for legislative regulation of the activities of marketplaces in general is noted. A conclusion is made about the possibility of classifying the conventional units of loyalty programs as tokens (digital rights) in the case of concluding an agreement on the Internet, or other property rights when concluding contracts in the traditional way. The authors formulated a number of proposals to change the current legislation by introducing amendments to the Law of the Russian Federation “On the Protection of Consumer Rights”, taking into account the possibility of partial use of accrued points (bonuses) and other conventional units in calculations.
FEATURES OF THE CRIMINAL LEGAL QUALIFICATION OF COMPLICITY IN SUBVERSIVE CRIMES
Authors: Глазырин С.И.
Published: April 2024

Статья посвящена комплексному теоретико-прикладному изучению форм соучастия и видов соучастников в преступлении, предусмотренном ст. 281.1 Уголовного кодекса Российской Федерации, сопряженном с содействием диверсионной деятельности. Автор приходит к выводу об изменении законодательного подхода к традиционной оценке действий, выраженных в виде подстрекательства, пособничества и организации преступлений, применительно к диверсиям. В результате исследования дается оценка новому содержанию совместной преступной деятельности соучастников в совершении преступлений диверсионной направленности.

The article is devoted to a comprehensive theoretical and applied study of the forms of complicity and types of accomplices in a crime under Article 281.1 of the Criminal Code of the Russian Federation, associated with promotion of sabotage activities. The author comes to the conclusion about a change in the legislative approach to the traditional assessment of actions expressed in the form of incitement, aiding and organizing crimes, in relation to diversions. As a result of the study, an assessment is given of the new content of the joint criminal activity of accomplices in the commission of subversive crimes.
A Rare Case of Superficial Temporal Space Abscess Arising from Lower Wisdom Tooth
Authors: Rohuma Mohamed
Published: April 2024

A superficial temporal space infection is a secondary infection that originate from the spread of infection from another facial space. It is located between the temporal fascia and Temporalis muscle and extends superiorly to the zygomatic arch and laterally to the lateral orbital rim; Submessetric space is considered the bottom of the superficial temporal space. An hourglass appearance is seen in the case of infection of the STS and submessetric space due to tight attachment of the temporal fascia and Zygomatic arch. A 31 years old healthy man, how had given different type of antibiotic over 20 days, came with moderate swelling in the submessetric space area with slight skin due to chronic fistula in this area and huge painless swelling in the temporal region left with sight deviation of the external helix. Ultrasound examination showed us a large amount of pus in the superficial space and only a small amount of pus in the submessetric space, as well as significant lymphadenopathy in the right submandibular lymph nodes. Surgical incision and drainage for abscess is carryout through Gillis approach extra-oral and intra-oral incision in buccal vestibule is carryout to reach submessetric abscess. On conclusion, a superficial temporal space infection is one of these facial space abscesses that need appropriate treatment. Proper antibiotic cover and re-evaluation of the patient is necessary in cellulitis stage, but surgical incision and drainage is mandatory in the abscess stage.
Prevalence of Leukemia Subtype in the Western Area of Libya: A Focus on Tripoli and Sabratha Cities
Authors: Abuagela Mohamed , Said Abdurraouf
Published: April 2024

Background and aims. Leukemia significantly contributes to the global cancer burden. Research about leukemia types is limited. In this study, we aimed to evaluate the types of leukemia prevalence related to age, gender, and family history in the western area of Libya. Methodology. A cross-sectional study was conducted involving 100 patients who have leukemia. a questionnaire was filled out for each patient. Descriptive statistics for the prevalence of leukemia types were analyzed to assess associating factors including age, gender, and family history. Statistical calculations were performed using the Microsoft Excel Software Version 2010. Results. Of all ages, the highest rate for all leukemia types was age (46 – 65 y) at 29%, however most prevalent leukemia type was CML with 48% of total cases and ALL was the commonest in children (1-10y). Moreover, AML and CLL were the lowest cases. By both genders, male cases were equal to female cases (50% _ 50%). Only 9% of all types have a family history. Conclusion. It is clear, that the most prevalent leukemia type was CML, especially in adults and ALL type was high in children. Only 9% of cases had a family history and by gender the percentage of males to females was equal. Leukemia is a critical cancer that requires further research on associated risk factors.
Measuring the crime of crime in the province of Diyala
Authors: Abd Hasan Naser AL.KHAFAJE Hawraa
Published: April 2024

This research is concerned with standing up on questions that are addressed in scientific theatres related to the study of the phenomenon of crime and its spread in a geographical area without jealousy ،which is when a crime is considered endemic in a specific place and not others? Why do they occur somewhere in a relatively constant context? In order to achieve this ،this research focused on finding a tool for measuring and indicating a set of local factors that cause the recurrence of crime in a geographical area without others ،and this prompts the researcher to interpret the spatial variation and temporal recurrence of occurrence in a specific context. The results of the research can draw up curative and preventive policies to reduce the endemic nature of crime ،as its spatial and temporal variation indicates the state of its concentration in certain foci and not others ،unlike the case of convergent spread ،which is explained by the predominance of chaos and crime in the entire study area. Thus ،the temporal recurrence of the occurrence of a crime in a frequent manner close to the average in a specific part of the study area and not in others will be explained by the endemic nature of that crime under study in that place ،and this geographical spot to the exclusion of any other part of the study area. In the part affected by this crime ،the study relied on data for a group of crimes committed in the Diyala Governorate for the period (2007-2017), where a period of time is not short to determine the most endemic crime in the studied area. A crime and its recurrence varied temporally and spatially, where the recurrence of its occurrence in certain proportions or with a recurrence close to the average for the same geographical area and for a period of time not short (at least ten years) indicates that the occurrence is stable ،in other words ،the crime is endemic in that place ،and the reason for that can be explained by local factors Mostly what requires focusing attention and taking care of it As it threatens the security of the community. By determining the two values of the crime rate and the deviation of the values from their rates ،it is easy to derive a coefficient of variation (Coefficient of Variation) through (dividing the value of the standard deviation by the rate and multiplying the result by percent). It fluctuates, and since the value of the covariance coefficient is a percentage (of the average value), it is standard and is used in comparisons between the various variables based on their different values and measures. Therefore, the Endemic Crime Index can be adopted to reveal its location and foci of its spread in the study area.
Social network analysis in virtual educational environments: Implications for collaborative learning and academic community development
Authors: Guerra Diego D. Díaz , Gamboa Alfredo Javier Pérez , Cano Carlos Alberto Gómez
Published: April 2024

This paper investigates the impact of Social Network Analysis (SNA) in optimizing virtual education, focusing on enhancing collaborative learning, strengthening virtual academic communities, and identifying challenges for educational innovation. Through SNA, patterns of interaction and collaboration are uncovered that inform the design of inclusive and dynamic educational practices. A theoretical review combining the benefits of bibliometric studies and documentary analysis was conducted. It highlights how ARS facilitates the identification of effective collaborative patterns and barriers to equal participation, promoting strategies for more meaningful collaboration. In addition, the role of ARS in consolidating academic communities by promoting cohesion, mutual support, and active engagement, crucial for student success and well-being, is discussed. Challenges such as forming subgroups and dependence on certain information nodes are analyzed, viewing them as opportunities to innovate in educational design and promote more equitable participation and knowledge construction. This analysis underscores the importance of ARS for developing more effective, equitable, and collaborative virtual learning environments aligned with the values of our digital society.
Unlocking Potential: The Strategic Advantage of Neurodiversity in the Workplace
Authors: Gujar Harshila
Published: April 2024

Neurodiversity, encompassing conditions like autism, ADHD, and dyslexia, offers a rich tapestry of unique talents often overlooked in traditional workplace settings. This article explores the strategic advantages of embracing neurodiversity in the modern workforce, with a particular focus on the strengths ADHD individuals bring to the table. By shifting perceptions to view neurodivergent traits as assets rather than limitations, organizations can unlock new avenues of innovation, efficiency, and success. Through case studies and practical strategies, this paper highlights the transformative potential of neurodiverse talent and advocates for creating inclusive environments that celebrate cognitive diversity.
Beyond Echo Chambers: Unraveling the Impact of Social Media Algorithms on Consumer Behavior and Exploring Pathways to a Diverse Digital Discourse
Authors: Gupta Tarun , Bansal Supriya
Published: April 2024

Purpose: This study delves into the intricate dynamics of how social media algorithms cultivate echo chambers, with a focus on their profound influence on consumer behavior.
Methodology: Through an exhaustive review of existing literature and detailed case studies, we explore the mechanisms by which personalized content delivery systems on social media platforms not only reinforce users' pre-existing beliefs and preferences but also significantly impact their consumption patterns, decision-making processes, and overall perception of reality.
Findings: Our analysis reveals that while these algorithms are designed to enhance user engagement and satisfaction, they inadvertently foster digital polarization, diminish exposure to diverse viewpoints, and contribute to the spread of misinformation. The paper further investigates the broader societal implications of these echo chambers, including decreased public trust in traditional information sources and the erosion of democratic discourse. To counteract these effects, we propose a multifaceted approach encompassing increased algorithmic transparency, user empowerment through digital literacy education, and policy interventions aimed at encouraging content diversity.
Unique Contribution to Theory, Policy and Practice: Our recommendations are designed to mitigate the echo chamber effect and foster a more inclusive and well-informed online public sphere. By addressing these challenges, we underscore the need for a concerted effort among stakeholders—including policymakers, educators, and technology developers—to navigate the complexities of the digital landscape and ensure a more diverse and resilient digital environment.
Pengaruh komunikasi Kepemimpinan terhadap Sikap Keterbukaan Anggota Komunitas Blessis di New Wine International Church
Authors: Takaliuang Ria
Published: April 2024

The aim of this study is to determine whether there is a significant relationship between leadership communication by community leaders and the openness attitudes of Blessis community members at New Wine International Church. The research population includes all Blessis community members at New Wine International Church who are part of a WhatsApp group, totaling 160 people. A sample size of 62 individuals was determined using the Slovin formula. The method employed in this study is correlational research with a quantitative approach. Correlational quantitative research aims to identify the relationship between two or more variables within a population. The research results, through hypothesis testing, demonstrate a calculated t-value of 23.188 and a critical t-value of 2.000. It can be observed that the calculated t-value is much greater than the critical t-value. Therefore, it can be concluded that the alternative hypothesis (H_a) is accepted, and the null hypothesis (H0) is rejected. In other words, the statistical test results indicate that there is a significant influence between leadership communication and the openness attitudes of Blessis community members at New Wine International Church.
A Study of Brand Positioning of Kannu Ki Chai in Pune City
Authors: Dr. Kiran Nagare  , Ms. Siddhi Kad
Published: April 2024

Brand positioning serves as a crucial strategic tool for establishing a distinctive identity in the minds of consumers amidst intense competition. This study delves into the brand positioning strategies of Kannu Ki Chai within the vibrant chai culture of Pune, Maharashtra. Founded with a commitment to quality and customer satisfaction, Kannu Ki Chai has emerged as a beloved local brand, resonating with tea enthusiasts across the city. Through a mixed-methods approach, including surveys and data analysis, the study examines consumer perceptions, attitudes, and preferences towards the brand, shedding light on its perceived attributes, brand identity, competitive advantages, and strategic focus areas for improvement. Findings reveal that taste, quality, and ambience are key drivers of brand perception, with respondents predominantly associating Kannu Ki Chai with modernity and affordability. Additionally, the study identifies technological integration and expansion of physical outlets as critical avenues for enhancing competitiveness. Overall, the study underscores the brand's strong positioning in Pune's chai market and provides actionable recommendations to further solidify its market presence and appeal.
Automatic Pesticide Sprayer Robot
Authors: Prof. Durgeshnandini Meshram  , Miss. Sakshi Khadgi  , Miss. Chinmayi Maske  , Miss. Sakshi Durbude  , Miss. Shreya Bhaisare
Published: April 2024

India being the farmland with a population of three-fourths engaging in agriculture. According to the climate and other resources accessible to them, farmers will grow multiple plants in their field. But some technical abilities along with technological assistance are required to achieve high output and excellent quality to practice agriculture. The management of food crops includes very close surveillance, particularly with regard to the treatment of illnesses, which can cause severe effects after harvest, like making the crops sick and not growing properly or dying. Disease is recognized in crops as the shift or deficiency of the plants ordinary functions that will generate certain symptoms, which are usually visible on the leaves, stems, and branches of the crops. The main goal is to diagnose the disease and the proportion of disease produced in crops is compulsory for effective and successful plant cultivation so the plant can grow healthily without any problems. This can be done by taking input images using a camera, analyzing them using a machine learning process which is somewhat complicated, but once you get the hang of it, it gets easier. It also displays the exposed area to disease and predicts the remedies, turn on the pesticide sprayer which sprays the respective pesticide on the exposed area to disease. This is very necessary and vital for effective spraying of the pesticide to make sure the plants are healthy and growing well. The movement of the robot is done with L293d motor driver and the processor or embedded system is done through Raspberry pi3 to make sure everything works correctly. We use a python code for machine learning which helps train the robot with pre-defined images, so it can identify problems and take the right actions. Since this can be controlled from anywhere without working in the field and being exposed to pesticides, it will be a profit for the farmer and he will stay unaffected by his health condition which is good for everyone involved including the environment
PREVALENCE, INCIDENCES AND MANAGEMENT PRACTICES OF OPHTHALMIC EMERGENCIES; A CROSS-SECTIONAL STUDY IN JINJA REGIONAL REFERRAL HOSPITAL.
Authors: Mudondo Martha , Kitanda Jonathan
Published: April 2024

Introduction
This study was aimed at establishing the prevalence of ophthalmic emergencies, determining the common incidences of ophthalmic emergencies, and establishing the common management practices of ophthalmic emergencies at Jinja Regional Referral Hospital. This study was carried out at the eye department of Jinja Regional Referral Hospital, Jinja City Busoga region 
Methodology
It employed a descriptive cross-sectional study design that employed both qualitative and quantitative methods of data collection from a sample size of 100 using a self-administered questionnaire. Data was analyzed manually and presented in tables and figures.
Results
The study showed that 43(43%) of the respondents were 10-20 years old and 60(60%) of them were males. Most of the respondents affected 42(42%) were those who were working in industries, factories, and welding. The most common ophthalmic emergency incidences were open globe injuries 72(72%) and mostly corneal foreign bodies 42(42%). The common management options for ophthalmic emergencies present at JRRH were both topical and systemic antibiotics, anti-fungal anti-viral drugs depending on the cause of the illness; surgery; topical or systemic steroids to reduce inflammation in the eye; anti-glaucoma drugs to reduce IOPs and referral
Conclusion
The study concluded that the common age group affected by ophthalmic emergencies is 10-20 years and mostly males are affected and with those working, it was mostly welders, those working in industries, factories, and peasants. 
Recommendations
The government, Ophthalmologists, ophthalmic clinical officers, and ophthalmic nurses should play their roles to address the challenges in service delivery to reduce ophthalmic emergencies or even avoid complications of ophthalmic emergencies
KNOWLEDGE, ATTITUDE, AND PRACTICES OF SELF-MEDICATION AMONG ADULT PATIENTS AGED 18 YEARS AND ABOVE RECEIVING HEALTH CARE SERVICES IN THE EYE CLINIC OF JINJA REGIONAL REFERRAL HOSPITAL. A CROSS-SECTIONAL STUDY.
Authors: Bazanya Rapheal , Mulumba Taddeo
Published: April 2024

Purpose of the study
This was to determine the knowledge, attitude, and practices of self-medication among adult patients aged 18 years and above receiving health care services in the eye clinic of Jinja Regional Referral Hospital, carried out from November 2022 to April 2023.
 
Study methods
A cross-sectional descriptive study design employing both quantitative and qualitative methods of data collection was used in the form of a questionnaire, 30 patients aged 18 years and above who agreed to be included in the study were used.
 
Results
Concerning knowledge about self-medication, it revealed that respondents could identify OTC drugs they always use, data analysis and interpretation revealed that respondents’ attitude towards the use of self-medication is still high (50%). Concerning practices of self-medication, between 1st December 2022-1st March 2023, the majority (43.5%) had practiced between January and February 2023, 30% had practiced within the last two weeks according to the time frame of the study, and only 26.1% had last used in December 2022, which showed that self-medication practice is still high within the region.
 
Conclusion
Given these findings, there is still a high need to sensitize the population about the knowledge of OTC drugs, the dangers associated with frequent and prolonged use of these drugs, and how to use them safely.
 
Recommendations
The government through the Ministry of Health should sensitize the population about the risk factors of wrong use of OTC drugs and the dangers of traditional medicines. It should also extend its health facilities to all areas of the country, and as well make them active by providing drugs and qualified personnel and as well improve the services of the already existing facilities so that people can get help.
Classification of Dyslexia Among School Students Using Deep Learning
Authors: Alia Hussein  , Ahmed Talib Abdulameer  , Ali Abdulkarim  , Husniza Husni  , Dalia Al-Ubaidi
Published: April 2024

Dyslexia is a common learning disorder that affects children’s reading and writing skills. Early identification of Dyslexia is essential for providing appropriate interventions and support to affected children. Traditional methods of diagnosing Dyslexia often rely on subjective assessments and the expertise of specialists, leading to delays and potential inaccuracies in diagnosis. This study proposes a novel approach for diagnosing dyslexic children using spectrogram analysis and convolutional neural networks (CNNs). Spectrograms are visual representations of audio signals that provide detailed frequency and intensity information. CNNs are powerful deep-learning models capable of extracting complex patterns from data. In this research, raw audio signals from dyslexic and non-dyslexic children are transformed into spectrogram images. These images are then used as input for a CNN model trained on a large dataset of dyslexic and non-dyslexic samples. The CNN learns to automatically extract discriminative features from the spectrogram images and classify them into dyslexic and non-dyslexic categories. This study’s results demonstrate the proposed approach’s effectiveness in diagnosing dyslexic children. The CNN accurately identified dyslexic individuals based on the spectrogram features, outperforming traditional diagnostic methods. Spectrograms and CNNs provide a more objective and efficient approach to dyslexia diagnosis, enabling earlier intervention and support for affected children. This research contributes to the field of dyslexia diagnosis by harnessing the power of machine learning and audio analysis techniques. Facilitating faster and more accurate identification of Dyslexia in children, ultimately improving their educational outcomes and quality of life.
A Review of Sustaining Sanitation Services Approach
Authors: Saad Muntaha , Mufid al-hadithi  , Thaer Jasim  , Aymen Yousif  , Mohamed Freeshah
Published: April 2024

The service sector, including the sanitation service, currently occupies a prominent part of the economic and social development plans. The scale of development of this sector has become a criterion for measuring the progress and development in various countries of the world. Infrastructure services management has been introduced in many countries of the world including some of the leading experts in this field to ensure the sustainable development of the sanitation sector. The aim of this study is to systematically review the literature on sanitation to provide an overview of how researchers approach problem solving to achieve sustainability in sanitation services, it was also found that recent studies tend to use geographic information systems (GIS) to analyze sanitation services. Studies using GIS technology have provided maps that can be used as a decision support tool for governmental and non-governmental organizations to prioritize sanitation in underserved areas.
Detecting Source Code Plagiarism in Student Assignment Submissions Using Clustering Techniques
Authors: Raddam Sami Mehsen  , Majharoddin M. Kazi  , Hiren Joshi
Published: April 2024

In pragmatic courses, graduate students are required to submit programming assignments, which have been susceptible to various forms of plagiarism. Detecting counterfeited code in an academic setting is of paramount importance, given the prevalence of publications and papers. Plagiarism, defined as the unauthorized replication of written work without proper acknowledgment, has become a critical concern with the advent of information and communication technology (ICT) and the widespread availability of scholarly publications online. However, the extensive use of freeware text editors has posed challenges in detecting source code plagiarism. Numerous studies have investigated algorithms for revealing different types of plagiarism and detecting source code plagiarism. In this research, we propose an innovative strategy that combines TF-IDF (Term Frequency-Inverse Document Frequency) modifications with K-means clustering, achieving a remarkable precision rate of 99.2%. Additionally, we explore the hierarchical clustering method, which estimates an even higher precision rate of 99.5% compared to previous techniques. To implement our approach, we utilize the Python programming language along with relevant libraries, providing a robust and efficient system for source code plagiarism detection in student assignment submissions.
Exploring the Pedagogical Odyssey: An In-Depth Study of Pre-Service Teachers’ Lived Experiences in Crafting English Lesson Plans
Authors: Bustillo Ryan Christian T. , Peligro Russel Bhan , Enaje Adrian Mitch
Published: April 2024

This research delves into the intricate world of pre-service teachers’ experiences in crafting English lesson plans, shedding light on the challenges they face, the strategies they employ, and the support received from instructors and administrations. Through thematic analysis, the study uncovers the multifaceted difficulties pre-service teachers encounter, including the complexities of formulating clear objectives and designing engaging activities. Coping mechanisms encompass utilizing digital resources, simplifying tasks, seeking guidance from knowledgeable individuals, and fostering peer collaboration. Moreover, the essential role of instructors and administrators in refining lesson plans is underscored. Insights gained through this research emphasize the pivotal role of well-structured lesson plans in classroom organization, while also highlighting the demanding nature of the task, which necessitates patience, dedication, and creative problem-solving. This study underscores the perpetual learning process and adaptation required for effective lesson planning, providing valuable insights for pre-service teachers and the broader field of education.
The Effect of Active Carbon from Coconut Shell as an Adsorbent on Motorcycle Exhaust Gas Emissions and Engine Performance
Authors: Mustapa Mohammad Sukri Bin , Setiawan Agus , Gumono Gumono
Published: April 2024

This study investigates the advantages of using active carbon as a catalyst, including its deodorizing and color adsorption properties, its ability to act as a purifying agent, common adsorbent, and permeable membrane. Additionally, active carbon exhibits strong binding power to substances that are physically or chemically separated. The objectives of this research are to compare the exhaust gas emissions of motorcycles before and after the application of an adsorbent on the muffler and to analyze the effects of active carbon derived from coconut shell on the engine speed of carbon monoxide (CO), and hydrocarbons (HC). The experimental approach involved conducting laboratory experiments with varying masses of active carbon to collect data. The independent variables were the mass of active carbon and the engine speed, while the dependent variables were the emissions of CO, and HC. The results indicated that using 200 grams of active carbon derived from coconut shell as an adsorbent resulted in a 12.06% decrease in CO emissions, and a 16.96% decrease in HC emissions.

Keywords: Active Carbon, Exhaust Gas Emissions, Coconut Shell
Exploring the Potential of Ramie Fiber Composites as Eco-friendly Materials for Medical Prostheses
Authors: Prabangkara Ramadhana Luhur , Susilo Sugeng Hadi
Published: April 2024

The insect Callosobruchus maculatus, is responsible for serious damages in the storage of grains of diverse cultures, among them, the one of the beans. Therefore the development of substances capable of being an alternative to minimize agricultural losses and thus contribute to food security of the population is a current necessity.This research aims to explore new materials derived from natural fibers for the development of environmentally friendly and recyclable medical devices, particularly prostheses. The focus is on utilizing ramie fiber, a natural fiber, as a substitute for artificial fibers and plastics in composite materials. The study investigates the impact and bending strength of ramie fiber composites by varying the volume fraction and fiber orientation. The experimental design involves three volume fractions (1%, 3%, and 5%) and three fiber orientations (10°, 20°, and 30°). Hand lay-up method is employed on molds, ASTM D256 impact tests and ASTM D7264 bending tests are conducted to assess the mechanical properties. The findings indicate that the ramie fiber composite with a volume fraction of 5% and fiber orientation of 30° exhibits the highest bending strength, measuring 471.1 Mpa. Similarly, this composition demonstrates the highest impact strength value of 26,558,720 Pa. Overall, this research contributes to the advancement of sustainable materials for medical prostheses and highlights the significance of optimizing the composition of ramie fiber composites to enhance their mechanical properties.

Keywords: Ramie Fiber, Composite Materials, Medical Prostheses
Optimization Study of the Ratio of Bioethanol Bioaceton Ron 90 on the Power and Emissions of a 110cc Gasoline Motor
Authors: Kurniawan Syva , Pebrianti Dwi
Published: April 2024

Fossil fuels have become one of the main causes of increasing pollution in the world, especially in Indonesia. Comparisons between proposed bio-acetone fuel blends and other biofuels were introduced in a unique study. bio-acetone is a promising alternative and can improve performance and emissions over the others. The aim of the research was to determine the optimization of the ratio of bioethanol, bioacetone-Ron 90 to power and exhaust emissions (HC and CO). Fuel mixture ratio bioethanol, bioacetone - RON 90 ((3:7:10), (5:5:10), (7:3:10), (10:5:5), (7,5:7, 5:5), (5:10:5), (2,5:2,5:15), (3,5:1,5:15), (1,5:3,5:15)) and engine speed (2000, 3000, 4000, 5000, 6000) 110cc gasoline engine rpm. The data processing method uses the Response surface method. The results of research on power and emission tests that have been optimized, the optimum value for fuel ratio power at standard spark plugs, at a ratio of 1.5:3,5:15 and Rpm 4424.24 with a power of 8.02065 HP. The optimum value for HC emissions is at a ratio of 3:7:10 at Rpm 4222.22 and HC gas emissions are 43.9879 ppm. Optimum value for CO emissions at a ratio of 7.5:7.5:5 and 2000 rpm with a CO emission of 0.208712%.

Keywords: Optimization Bioethanol, Biocetone, Power and Emissions
Format Methods on Storage Media (Hard Disk) for Optimization Data Storage Capacity
Authors: Saukani Imam , Nuraini Eko , Nurhadi Slamet , Sumarno Agus Sukoco Heru , Saptawati Rina Tri Turani , Prasetyo Prasetyo , Sifaunnufus Ms Fi Imanur
Published: April 2024

This research is to determine how much storage capacity in the File Allocation Table 16 (FAT16), File Allocation Table 32 (FAT 32) and New Technology File System (NTFS), the use of the hard drive is currently the of the maximum capacity will not be able to use when not using the appropriate partition, because it can affect the amount of storage capacity available after the hard disk in the partition. This type of research is reviewed based on its purpose of use, so the research to be conducted is applied research because the products of this research can be used by all computer users. Ultimately, the findings from this study will contribute to a comprehensive understanding of how file system selection and partitioning can influence the actual storage capacity of hard drives, thus informing best practices for maximizing available storage space.

Keywords: New Technology File System, File Allocation Table, Storage Media
Cathodic Corrosion Protection on Low Carbon Steel Type H-beam (SM490YB) Using Zinc (Zn) Anode with Soil Corrosive Media Mixed with NaCl
Authors: Lazuardi Lazuardi , Rizza Muhammad Akhlis , Hadi Susilo Sugeng , Maryono Maryono
Published: April 2024

H-beam steel is often used as a basic material for building construction on the coast. Cases that often occur are H-beam steel that is installed quickly corrodes. This incident is caused by the coastal area belongs to an environment with a high level of corrosiveness.From the results of the pH tester test, the value of the degree of acidity is in rangeof pH=5 to pH=7.Coastal soils contain a lot of chloride Cl. In an acidic environment accompanied by a chloride Cl element, it triggers the breakdown of the passive layer on the surface which causes an anodic region to form so that the steel is in a state of releasing electrons. The problem that occurs can be overcome using a sacrificial anode cathodic protection system, with a zinc metal protection mechanism (Zn) 99, 99% which is used as a sacrificial anode has a lower potential value than the potential value of H-beam steel as a cathode protected by zinc metal (Zn) . This value of zinc metal (Zn) is more negative than the Fe steel which potential value is . The value of the potential difference is that it can be ascertained that the released Zn electrons can flow and adhere to the protected H-beam steel.

Keywords: Surface Corrosion, Cathodic Protection, H-beam Steel, Zinc Anode(Zn)
Cylinder head repair technology
Authors:   State Agrarian University of the Northern Trans-Urals, Novokshonov Artyom , Storozhev Ivan
Published: April 2024

The article is devoted to the consideration of the cylinder head repair technology. The types of pastes that are used in the valve lapping operation are considered. The advantages and disadvantages of these lapping pastes are analyzed. The proprietary composition of the paste has been developed. Keywords: ABRASIVE, OPERATION TIME, CYLINDER HEAD, LAPPING PASTE, VALVE LAPPING, REPAIR, COMPOSITION
THE AUDITOR SELF-EFFICACY SCALE: MEASURING CONFIDENCE IN TECHNICAL SKILLS, TECHNOLOGICAL ADAPTATION, AND INTERPERSONAL COMMUNICATION
Authors: Jonathan Muterera
Published: April 2024

The auditing profession's complexity and high-stakes nature necessitates a nuanced understanding of auditors' self-efficacy, which significantly influences their performance, decision-making quality, audit quality, and fraud detection capabilities. Recognizing a gap in the domain-specific measurement of self-efficacy within this field, this study introduces the Auditor Self-Efficacy (ASE) scale, developed in alignment with Bandura's social cognitive theory. The ASE scale, consisting of three subscales—Technical Skills, Technological Adaptation, and Interpersonal Communication—aims to capture auditors' confidence across key competencies in auditing. This research involved 593 auditors who used an online survey to validate the scale. The findings indicated moderate to high levels of self-efficacy among the participants, with satisfactory internal consistency across the subscales. Confirmatory factor analysis affirmed the structural integrity and validity of the scale, with excellent model fit indices and significant factor loadings. The scale's discriminant validity was also established, highlighting its ability to differentiate between various dimensions of self-efficacy in auditing. The ASE scale's development fills a significant gap in the literature and offers practical implications for enhancing auditors' professional development and organizational capacity building. By providing a detailed measure of auditors' confidence across key competencies, the ASE scale facilitates a deeper understanding of their role and contributions to the auditing profession, paving the way for future research and practice to improve audit quality and efficiency in the evolving financial landscape.

Keywords:  Auditor Self-Efficacy, Auditing Competencies, Technical Skills in Auditing, Technological Adaptation in Auditing, Interpersonal Communication in Auditing, Social Cognitive Theory, Professional Development in Auditing, Audit Quality, Decision-Making in Auditing, Fraud Detection.
REVOLUTIONIZING BANKING SECURITY: INTEGRATING ARTIFICIAL INTELLIGENCE, BLOCKCHAIN, AND BUSINESS INTELLIGENCE FOR ENHANCED CYBERSECURITY
Authors: Oluwatoyin Ajoke Farayola
Published: April 2024

This paper outlines the methodology and implementation strategies necessary to revolutionize banking security and ensure a resilient financial ecosystem. In the dynamic landscape of banking, security stands as a cornerstone for financial institutions. The rise of digital banking and the proliferation of online transactions have heightened the need for robust cybersecurity measures to protect sensitive financial data and ensure the integrity of transactions. Traditional security approaches are often reactive and struggle to keep pace with the evolving tactics of cybercriminals. Consequently, there is a pressing need for innovative solutions that can adapt to emerging threats in real-time. The integration of Artificial Intelligence (AI), Blockchain, and Business Intelligence (BI) offers a paradigm shift in banking security. AI, with its ability to analyze vast amounts of data and identify patterns indicative of suspicious behavior, serves as a proactive defense mechanism against cyber threats. By continuously monitoring transactions and network activities, AI-powered systems can swiftly detect anomalies and potential security breaches, enabling banks to respond effectively and mitigate risks before they escalate. Blockchain technology introduces a decentralized and immutable ledger that enhances the security and transparency of transactions. By utilizing cryptographic principles, Blockchain ensures that transactional data remains tamper-proof and verifiable, reducing the risk of fraud and unauthorized access. This technology not only secures financial transactions but also enables the secure sharing of data among stakeholders, facilitating seamless collaboration while maintaining data integrity. Business Intelligence (BI) complements AI and Blockchain by providing actionable insights derived from data analytics. BI tools enable banks to gain a deeper understanding of their security posture, identify vulnerabilities, and prioritize remediation efforts.

Keywords:  Banking, Security, AI, Integration, Blockchain.