International Journal of Science and Research Archive最新文献

{"title":"The effect of text genre multiliteracy learning models and learning motivation on inspirational story writing learning outcomes of ninth graders at SMP negeri 1 Kwandang","authors":"Pertiwi Salama, Asna Ntelu, Herson Kadir","doi":"10.30574/ijsra.2024.12.2.1337","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1337","url":null,"abstract":"This research is aimed at analyzing (1) different effects of the uses of text genre multiliteracy and conventional learning models on inspirational story writing learning outcomes of ninth graders SMP Negeri 1 Kwandang and (2) the effect of interaction between the text genre multiliteracy learning model and learning motivation on inspirational story writing learning outcomes of ninth graders SMP Negeri 1 Kwandang. This experimental research used a 2 × 2 factorial design. Instruments to measure motivation and learning outcomes were questionnaires and a competency test, respectively. The data analysis technique was two-way ANOVA. Results demonstrated (1) significantly different effects between text genre multiliteracy and conventional learning models on inspirational story writing learning outcomes at a p-value of 0.000 < 0.05. The group using the text genre multiliteracy learning model scored higher (better) compared to that using a conventional one at a mean difference of 10.7 and (2) a significant effect of interaction between the text genre multiliteracy learning model and learning motivation on inspirational story writing learning outcomes at a p-value of 0.014 < 0.05.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"11 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bilateral aural myiasis in a 3-month-old infant in Pwani region, Tanzania: A case report","authors":"Jane John Bazilio, Umar Ayoub Said, Joseph Dutuy Deus","doi":"10.30574/ijsra.2024.12.2.1190","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1190","url":null,"abstract":"Myiasis is a rare clinical condition caused by the larvae of Diptera. It is commonly seen in tropical and sub-tropical zones. The infestation of nose and ears can be extremely dangerous if the larvae destroy the bone and penetrate into the brain affecting the central nervous system. The objective is to report the case of a 3-month infant who was diagnosed to have bilateral aural myiasis at Tumbi Referral Regional Hospital in Tanzania, two maggots were removed one from each ear and the patient was treated with appropriate antibiotics.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"7 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parenting style on academic performance among secondary students at Kota Belud, Sabah","authors":"Naldo Janius, Siti Khatijah Binti Jemat, Mohammad Aniq Bin Amdan","doi":"10.30574/ijsra.2024.12.2.1294","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1294","url":null,"abstract":"This qualitative study explores how different parenting styles influence the academic performance of secondary school students in Kota Belud, Sabah Malaysia. Through in-depth interviews with teachers, this research investigates the nuances of authoritative, authoritarian, permissive and neglectful parenting styles. Thematic analysis revealed that an authoritative parenting style, which balances responsiveness and demandingness, promotes better academic outcomes by increasing motivation and self-discipline. In contrast, an authoritarian and neglectful parenting style often results in lower academic achievement due to increased stress and lack of support. This study underscores the important role of positive and supportive parenting in enhancing students' educational experiences and success.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"7 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Approaches to improving revenue and expense management in Uzbekistan's public sector","authors":"Niyazmetov Mansur Ruzmatovich, Ostonokulov Azamat Abdukarimovich","doi":"10.30574/ijsra.2024.12.2.1355","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1355","url":null,"abstract":"This paper explores the methods used for recognizing and recording revenues and expenses in public sector entities in Uzbekistan. It delves into the current difficulties faced and contrasts these practices with global norms, suggesting a detailed plan to improve financial governance. The proposed measures involve the implementation of contemporary accounting frameworks, the use of advanced technology, the revision of existing rules, and the promotion of global partnerships.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"7 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Protocol for dissection of Drosophila abdomens for fluorescent imaging","authors":"Blessie Pradeeka Gudelly, Komal Kumar Bollepogu Raja","doi":"10.30574/ijsra.2024.12.2.1315","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1315","url":null,"abstract":"Fluorescent imaging in Drosophila species is indispensable for investigating dynamic biological processes and visualizing gene expression patterns with cellular precision. This technique leverages the transparency of Drosophila larvae and pupae, combined with advanced microscopy, to enable real-time observation of developmental events such as morphogenesis and organogenesis. Genetically encoded fluorescent proteins and dyes allow specific labeling of cells and proteins, facilitating detailed studies of spatial and temporal dynamics within intact tissues. Techniques like confocal and two-photon microscopy provide high resolution and depth penetration, essential for 3D reconstruction and quantitative analysis of complex biological structures. Fluorescent imaging in Drosophila supports disease modeling, drug screening, and therapeutic exploration, bridging insights from basic biology to potential clinical applications. It is therefore necessary to develop imaging techniques and protocols that accurately capture and profile gene expression patterns in a wide range of Drosophila tissues. In this study, we present a detailed protocol for preparing and imaging transgenic Drosophila abdomen, which will enable researchers investigate gene expression patterns underlying fundamental biological processes in the abdomen.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"10 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing big data for Sustainable Supply Chain Management (SSCM): Strategies to reduce carbon footprint","authors":"Uchechukwu Christopher Anozie, Oyinlola Esther Obafunsho, Rebecca Olubunmi Toromade, Gbenga Adewumi","doi":"10.30574/ijsra.2024.12.2.1344","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1344","url":null,"abstract":"In today's global economy, managing supply chains sustainably is crucial for businesses wanting to reduce their environmental impact while still making a profit. This article reviews how big data analytics can help achieve these sustainability goals. By using big data, companies can improve their supply chain practices, reduce carbon emissions, and implement more sustainable business strategies. Big data provides detailed insights and better levels of control over various supply chain activities, making it a vital tool for driving sustainability. Big data isn't just about internal operations; it also uncovers supplier practices, letting businesses assess their supply chains' environmental impact. Predictive maintenance, driven by big data, plays a powerful role here. It keeps operations running smooth by monitoring equipment health and foreseeing issues before they cause downtime. This proactive approach not only ensures machinery runs efficiently but also lowers energy consumption and emissions associated with breakdowns. Big data also plays a crucial role in optimizing transportation, where it analyzes traffic flow, weather data, and fuel efficiency to design smarter delivery routes. This approach cuts down on fuel consumption and emissions, making logistics more eco-friendly. Energy efficiency is also a priority; big data tracks energy usage across facilities, uncovering areas where consumption can be reduced. This not only lowers energy bills but also decreases greenhouse gas emissions. Big data goes beyond just making things greener; it also helps businesses save money! Here's how: by using big data to predict exactly how much of a product people will buy, companies can avoid making more than they need. This means less waste and less sitting around in warehouses, which is good for the environment and good for the company's bottom line. In short, big data is a win-win for both the planet and your wallet. Case studies from top industry players like Walmart, Nestlé and Maersk illustrate how big data improves sustainable supply chain management (SSCM) with tangible benefits. Yet, integrating big data has its own challenge: ensuring data accuracy, addressing privacy issues, and recruiting skilled personnel are key hurdles. Looking ahead, trends in SSCM—such as AI, machine learning, blockchain, and IoT advancements—hold promise for enhanced insights and predictive capabilities, shaping the future of sustainable supply chains.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"6 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative evaluation of the compressive strength of treated drill cutting blocks and sandcrete blocks","authors":"S. E. Ezeani","doi":"10.30574/ijsra.2024.12.2.1204","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1204","url":null,"abstract":"Management of drill cuttings is a major environmental concern in the oil drilling operations. This study evaluates the compressive strength of treated drill cuttings block when compared with the sandcrete block for use in the construction industry. 100mmx 100mm sandcrete and cutting block were moulded using Portland cement as a binding agent in the mix ratio of 1; 6. The blocks were cured for 7 and 14 days. The compressive strength of both the cutting and sandcrete block were tested after 7 and 14 days. The study found the cuttings block exhibited significantly higher load-bearing capacity compared to the sandcrete blocks. The failure loads for cuttings blocks were approximately double those of the sandcrete blocks. Specifically, after 7 days of curing, cuttings blocks A1 and A2 withstood loads of 20 KN and 21 KN, respectively, whereas sandcrete blocks A1 and A2 only withstood 10 KN and 11 KN, respectively. Similarly, compressive strength of 3.1 N/mm², 3.2 N/mm² and 2.0 N/mm, 2.1 N/mm was achieved by cuttings blocks and sandcrete blocks respectively after 14 days of curing. The findings of this study suggest that cuttings blocks are a robust alternative to traditional Sandcrete blocks, particularly for construction applications where higher strength is desired. The increased compressive strength and weight gain over time, along with the blocks' ability to meet and exceed the minimum strength requirements, highlight their suitability for various building construction needs.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"3 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing antenna performance: A review of multiple-input multiple output (MIMO) antenna design techniques","authors":"Mark Ivan Mapa, Dominee Kyle M. Ibarlin, Edwin R. Arboleda","doi":"10.30574/ijsra.2024.12.2.1252","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1252","url":null,"abstract":"The continuous grow of demand for effective and efficient wireless communication systems also demands the continuous innovation in antenna designs. Along with this growth of demand, Multiple Input Multiple Output (MIMO) antenna was derived. This literature review discusses core principles of MIMO antenna, contrasting it with the traditional Single-Input Single Output (SISO) antenna and explores recent design techniques employed on MIMO antenna that could impact and change the future antenna technology and wireless communication. Furthermore, this includes application of MIMO antenna in wireless communication including compact configurations and multi-band operation. This paper also acknowledges the challenges associated in operating with MIMO antenna such as complexity and cost. This review offers a comprehensive overview of MIMO antenna, emphasizing its fundamental operation, design techniques, and its role in improving the wireless communication.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"11 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Variables Impacting the AI Adoption in Organizations","authors":"Susan Maestro, Puja Rana","doi":"10.30574/ijsra.2024.12.2.1329","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1329","url":null,"abstract":"This review paper investigates the factors that influence how organizations adopt Artificial Intelligence (AI). It focuses on technological, organizational, human, and external aspects, analyzing the drivers and obstacles to AI integration. Key frameworks such as the Technology Acceptance Model (TAM), Diffusion of Innovations (DOI) Theory, and the Technology-Organization-Environment (TOE) framework are used to understand these dynamics. The paper addresses challenges like technical difficulties and ethical issues, alongside the benefits AI can provide, such as improved decision-making and increased efficiency. It also looks at emerging trends like explainable AI and offers guidance for organizations to use AI technologies effectively. This analysis aims to contribute to scholarly discussions and offer actionable insights, assisting organizations in overcoming the complexities of AI adoption and leveraging its transformative effects.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"10 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of motivation, learning discipline, and family environment on the learning achievement of students in public high school 1 tapa","authors":"Asdi Durahim, Abd. Rahman Pakaya, Meyko Panigoro","doi":"10.30574/ijsra.2024.12.2.1194","DOIUrl":"https://doi.org/10.30574/ijsra.2024.12.2.1194","url":null,"abstract":"This study aims to determine The effect of motivation on student learning achievement, The effect of learning discipline on student learning achievement, The effect of family environment on student learning achievement, and The effect of motivation, discipline, and family environment simultaneously on student learning achievement at sma negeri 1 tapa, bone bolango regency in the 2022/2023 academic year. The research design used is quantitative, with a population of 300 students and a sample size of 75. Data were collected via documentation, observation, and questionnaire methods. Data analysis was conducted using multiple regression analysis. The results showed that; There was a significant influence of learning motivation on student achievement with a t-count value of 3.894 > t-table 1.666 and a Sig. of 0.000 < α 0.05. There is a significant influence of learning discipline on student achievement with a t-count value of 3.546 > t-table 1.666 and a Sig. 0.001 <α 0.05. There is a significant influence of the family environment on student achievement with a t-count of 2.925 > t-table of 1.666 and a Sig. 0.005 < α 0.05, and There is a significant influence of learning motivation, study discipline, and family environment together on student achievement at SMA Negeri I Tapa, Bone Bolango Regency with the results of the analysis of the value of F-count 30.572 > F-table 3.124 with a value Sig. 0.000 <α 0.05. The adjusted determination coefficient value is 0.564, meaning that 56.40% of learning achievement is influenced by learning motivation, learning discipline, and family environment while the remaining 43.60% is influenced by other factors.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"9 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}