This article explores the integration of Artificial Intelligence (AI) in English as a Sec-ond Language (ESL) education, focusing on innovative teaching methods and authen-tic materials. AI-powered gamification is discussed, highlighting the use of AI tools like ChatGPT to enhance the gamification of key terms and concepts in ESL educa-tion. The interactive and enjoyable nature of gamified learning, combined with AI-driven content curation, deepens student understanding, critical thinking skills, and retention. By personalizing the learning experience, AI tools cater to individual stu-dent needs, allowing for flexibility in difficulty and fostering a love for the subject. Reflection and self-assessment play a crucial role in solidifying knowledge and pro-moting deeper learning. The article also discusses the importance of authentic materials in ESL education, emphasizing the use of AI-driven content curation to select and organize relevant and meaningful language content. AI-powered tools can analyze vast amounts of data, un-derstand patterns, and make accurate predictions, enhancing the user experience and delivering content that is most relevant and valuable to each individual student. The integration of AI in ESL education offers numerous benefits, including increased engagement, improved retention and application of key terms and concepts, personal-ized learning experiences, and enhanced critical thinking skills. By embracing AI-powered gamification and content curation, educators can create dynamic, interactive, and engaging learning experiences that foster a love for language learning and pro-mote deeper understanding.
{"title":"Enhancing ESL Education with AI: Innovations in Teaching Methods and Au-thentic Materials","authors":"Yolchiyeva Khanim Ali, Minavvar Mammadova, Aghayeva Javahir Geyis, Gunel Bayramova Mehdiyeva","doi":"10.15379/ijmst.v11i1.3687","DOIUrl":"https://doi.org/10.15379/ijmst.v11i1.3687","url":null,"abstract":"This article explores the integration of Artificial Intelligence (AI) in English as a Sec-ond Language (ESL) education, focusing on innovative teaching methods and authen-tic materials. AI-powered gamification is discussed, highlighting the use of AI tools like ChatGPT to enhance the gamification of key terms and concepts in ESL educa-tion. The interactive and enjoyable nature of gamified learning, combined with AI-driven content curation, deepens student understanding, critical thinking skills, and retention. By personalizing the learning experience, AI tools cater to individual stu-dent needs, allowing for flexibility in difficulty and fostering a love for the subject. Reflection and self-assessment play a crucial role in solidifying knowledge and pro-moting deeper learning. The article also discusses the importance of authentic materials in ESL education, emphasizing the use of AI-driven content curation to select and organize relevant and meaningful language content. AI-powered tools can analyze vast amounts of data, un-derstand patterns, and make accurate predictions, enhancing the user experience and delivering content that is most relevant and valuable to each individual student. The integration of AI in ESL education offers numerous benefits, including increased engagement, improved retention and application of key terms and concepts, personal-ized learning experiences, and enhanced critical thinking skills. By embracing AI-powered gamification and content curation, educators can create dynamic, interactive, and engaging learning experiences that foster a love for language learning and pro-mote deeper understanding.","PeriodicalId":301862,"journal":{"name":"International Journal of Membrane Science and Technology","volume":" 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140999560","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}
The excessive exploitation of natural resources brings with it a growing environmental problem, which is largely due to industrial development. Different international treaties, conventions, and protocols try to mitigate the impacts of global warming. However, new tools are constantly needed to achieve the sustainability of economies and the preservation of renewable resources. In response to this, green bonds arise providing a coherent solution that integrates both the industry and the environment. These bonds constitute a financial instrument allowing the collection of resources, with the only requirement of being invested in sustainable projects generating environmental and social well-being. This paper highlights Colombia's potential as an emerging market attractive for investments classified as green. This Colombian green market is expected to grow, due to the low amounts of GHG emissions compared to the industrialized countries and the richness in natural resources of the nation. However, to develop sustainable energy projects in Colombia, special instruments are required to enhance the promotion and financing of energy projects. For this reason, various financing alternatives to the traditional systems for the development of clean energy must be evaluated. This paper emphasizes the potential of green bonds to improve energy projects in Colombia and obtain additional benefits to reduce climate change through the use of sustainable renewable energies. Through a document review exercise in specialized literature and the application of a case study, the advantage of green bonds over other traditional mechanisms for financing initiatives for small and medium enterprises is demonstrated.
{"title":"Can Green Bonds Boost the Development of Energy Projects in Colombia? An Opportunity for Responsible and Sustainable Investment","authors":"Eduardo Duque-Grisales, Julián Alberto Patiño-Murillo, Jaritza Duque-Marín, Sergio Giraldo-Giraldo, Jorge Andrés Acosta-Strobel","doi":"10.15379/ijmst.v11i1.3685","DOIUrl":"https://doi.org/10.15379/ijmst.v11i1.3685","url":null,"abstract":"The excessive exploitation of natural resources brings with it a growing environmental problem, which is largely due to industrial development. Different international treaties, conventions, and protocols try to mitigate the impacts of global warming. However, new tools are constantly needed to achieve the sustainability of economies and the preservation of renewable resources. In response to this, green bonds arise providing a coherent solution that integrates both the industry and the environment. These bonds constitute a financial instrument allowing the collection of resources, with the only requirement of being invested in sustainable projects generating environmental and social well-being. This paper highlights Colombia's potential as an emerging market attractive for investments classified as green. This Colombian green market is expected to grow, due to the low amounts of GHG emissions compared to the industrialized countries and the richness in natural resources of the nation. However, to develop sustainable energy projects in Colombia, special instruments are required to enhance the promotion and financing of energy projects. For this reason, various financing alternatives to the traditional systems for the development of clean energy must be evaluated. This paper emphasizes the potential of green bonds to improve energy projects in Colombia and obtain additional benefits to reduce climate change through the use of sustainable renewable energies. Through a document review exercise in specialized literature and the application of a case study, the advantage of green bonds over other traditional mechanisms for financing initiatives for small and medium enterprises is demonstrated.","PeriodicalId":301862,"journal":{"name":"International Journal of Membrane Science and Technology","volume":"1 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141004499","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}
Pub Date : 2024-05-07DOI: 10.15379/ijmst.v11i1.3684
Mustafa Abbas Shober, Prof. Rami Tawil
Location determination algorithms are widely used in cellular networks, especially in the long-term evolution (LTE) network, to enable the provision of location-based services (LBS). The increasing global demand for cellular networks has resulted in the creation of new user equipment (UE) positioning systems that align with the network's momentum. Regrettably, all of these technologies are hindered by their incapacity to ascertain the location of the UE in distant regions. This article introduces a novel method utilizing Radio Frequency (RF) fingerprinting to precisely locate UEs in remote areas. The approach entails employing a proposed partitioning model with a high level of precision, incorporating artificial intelligence and machine learning AI/ML in its fundamental state to reduce the search area. Furthermore, two algorithms are suggested: The first aims to enhance the efficiency of the battery with limited capacity by decreasing the frequency of measurements transmission. The second utilizes Jaccard similarity and incorporates the prefix filtering technique to determine matches. The algorithm is used to speed up the process of matching the fingerprint recorded in the fingerprint database with the fingerprint captured in real time. The results shows that it can reduces the transmission rate by 77.08% and achieves the lowest error rate of 35.34 m. Additionally, it exhibits a response time of 8 seconds.
{"title":"A Novel RSS Fingerprint to Locate User Equipment UE in Remote Area","authors":"Mustafa Abbas Shober, Prof. Rami Tawil","doi":"10.15379/ijmst.v11i1.3684","DOIUrl":"https://doi.org/10.15379/ijmst.v11i1.3684","url":null,"abstract":"Location determination algorithms are widely used in cellular networks, especially in the long-term evolution (LTE) network, to enable the provision of location-based services (LBS). The increasing global demand for cellular networks has resulted in the creation of new user equipment (UE) positioning systems that align with the network's momentum. Regrettably, all of these technologies are hindered by their incapacity to ascertain the location of the UE in distant regions. This article introduces a novel method utilizing Radio Frequency (RF) fingerprinting to precisely locate UEs in remote areas. The approach entails employing a proposed partitioning model with a high level of precision, incorporating artificial intelligence and machine learning AI/ML in its fundamental state to reduce the search area. Furthermore, two algorithms are suggested: The first aims to enhance the efficiency of the battery with limited capacity by decreasing the frequency of measurements transmission. The second utilizes Jaccard similarity and incorporates the prefix filtering technique to determine matches. The algorithm is used to speed up the process of matching the fingerprint recorded in the fingerprint database with the fingerprint captured in real time. The results shows that it can reduces the transmission rate by 77.08% and achieves the lowest error rate of 35.34 m. Additionally, it exhibits a response time of 8 seconds.","PeriodicalId":301862,"journal":{"name":"International Journal of Membrane Science and Technology","volume":"26 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141005634","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}
Pub Date : 2024-04-13DOI: 10.15379/ijmst.v11i1.3646
Mohamed Yassin Abdelwahab Yassin, Yazeed Al Moaiad
A sequence-to-sequence model is used as the foundation for a suggested abstractive Arabic text summarizing system. Our goal is to create a sequence-to-sequence model by utilizing multiple deep artificial neural networks and determining which one performs the best. The encoder and decoder have been developed using several layers of recurrent neural networks, gated recurrent units, recursive neural networks, convolutional neural networks, long short-term memory, and bidirectional long short-term memory. We are re-implementing the fundamental summarization model in this study, which uses the sequence-to-sequence framework. Using a Google Colab Jupiter notebook that runs smoothly, we have constructed these models using the Keras library. The results further demonstrate that one of the key techniques that has led to breakthrough performance with deep neural networks is the use of Gensim for word embeddings over other text representations by abstractive summarization models, along with FastText, a library for efficient learning of word representations and sentence classification.
序列到序列模型是建议的抽象阿拉伯语文本摘要系统的基础。我们的目标是利用多个深度人工神经网络创建序列到序列模型，并确定哪一个性能最佳。编码器和解码器的开发使用了多层递归神经网络、门控递归单元、递归神经网络、卷积神经网络、长短期记忆和双向长短期记忆。在这项研究中，我们重新实施了基本的摘要模型，该模型使用序列到序列框架。利用运行流畅的 Google Colab Jupiter 笔记本，我们使用 Keras 库构建了这些模型。研究结果进一步证明，利用深度神经网络取得突破性性能的关键技术之一，是通过抽象化摘要模型使用 Gensim 对其他文本表征进行单词嵌入，同时使用 FastText（一种用于高效学习单词表征和句子分类的库）。
{"title":"Data Representation for Deep Learning - Based Arabic Text Summarization Performance Using Python Results","authors":"Mohamed Yassin Abdelwahab Yassin, Yazeed Al Moaiad","doi":"10.15379/ijmst.v11i1.3646","DOIUrl":"https://doi.org/10.15379/ijmst.v11i1.3646","url":null,"abstract":"A sequence-to-sequence model is used as the foundation for a suggested abstractive Arabic text summarizing system. Our goal is to create a sequence-to-sequence model by utilizing multiple deep artificial neural networks and determining which one performs the best. The encoder and decoder have been developed using several layers of recurrent neural networks, gated recurrent units, recursive neural networks, convolutional neural networks, long short-term memory, and bidirectional long short-term memory. We are re-implementing the fundamental summarization model in this study, which uses the sequence-to-sequence framework. Using a Google Colab Jupiter notebook that runs smoothly, we have constructed these models using the Keras library. The results further demonstrate that one of the key techniques that has led to breakthrough performance with deep neural networks is the use of Gensim for word embeddings over other text representations by abstractive summarization models, along with FastText, a library for efficient learning of word representations and sentence classification.","PeriodicalId":301862,"journal":{"name":"International Journal of Membrane Science and Technology","volume":"50 227","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140708134","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}
Pub Date : 2024-04-08DOI: 10.15379/ijmst.v11i1.3642
Alishba Amer Siddiqui, Mahrukh Anwar Abbasi, Fathima Farzana, Hammad Tahir, Durnave Azid, Momin Ali Khan, Afnan Mehraj, Hanzala Ahmad
Introduction: Excessive consumption of sugary drinks increases the risk of obesity and negatively affects nutritional health because they contain additional sugars and empty calories. Making well-informed decisions that prioritize nutrient-dense options enables people to reduce health risks and improve their general nutritional state. Objectives: The objectives of this study to is to assess the relationship between nutritional status, dietary knowledge and sugary beverage consumption habits among secondary school children in Lahore. Methodology: A cross-sectional study was conducted among a sample of 384 secondary school children studying in public and private schools of Lahore, Pakistan and data was collected through a combination of 2 validated questionnaires, composed of 4 parts (personal information, frequency of sugary beverages consumed, sugary beverage consumption pattern and & dietary knowledge). For BMI calculation, height and weight were measured. Data analysis was done through SPSS version 23. Results: The study reveals that 51.8% of the students in Pakistani secondary schools in Lahore fell within the normal BMI limit. The remainder, however, were malnourished; 13% of the adolescents were underweight, 21.6% were overweight, and 13.5% were obese. Furthermore, it was found that there was no significant relationship between dietary knowledge, use of sugary beverages, and nutritional status. Conclusion: In conclusion, it is evident that the consumption of sugary sweet beverages among the secondary school children of Lahore, Pakistan is significantly higher. Also, the burden of malnutrition and the body mass index is significantly high among these adolescents, associated with SSB consumption. However, BMI is no significantly related to dietary knowledge.
{"title":"Investigating the Efficacy of Nutritional Status, Dietary Acumen, and Sugary Beverage Consumption Patterns in Secondary School Adolescents","authors":"Alishba Amer Siddiqui, Mahrukh Anwar Abbasi, Fathima Farzana, Hammad Tahir, Durnave Azid, Momin Ali Khan, Afnan Mehraj, Hanzala Ahmad","doi":"10.15379/ijmst.v11i1.3642","DOIUrl":"https://doi.org/10.15379/ijmst.v11i1.3642","url":null,"abstract":"Introduction: Excessive consumption of sugary drinks increases the risk of obesity and negatively affects nutritional health because they contain additional sugars and empty calories. Making well-informed decisions that prioritize nutrient-dense options enables people to reduce health risks and improve their general nutritional state. Objectives: The objectives of this study to is to assess the relationship between nutritional status, dietary knowledge and sugary beverage consumption habits among secondary school children in Lahore. Methodology: A cross-sectional study was conducted among a sample of 384 secondary school children studying in public and private schools of Lahore, Pakistan and data was collected through a combination of 2 validated questionnaires, composed of 4 parts (personal information, frequency of sugary beverages consumed, sugary beverage consumption pattern and & dietary knowledge). For BMI calculation, height and weight were measured. Data analysis was done through SPSS version 23. Results: The study reveals that 51.8% of the students in Pakistani secondary schools in Lahore fell within the normal BMI limit. The remainder, however, were malnourished; 13% of the adolescents were underweight, 21.6% were overweight, and 13.5% were obese. Furthermore, it was found that there was no significant relationship between dietary knowledge, use of sugary beverages, and nutritional status. Conclusion: In conclusion, it is evident that the consumption of sugary sweet beverages among the secondary school children of Lahore, Pakistan is significantly higher. Also, the burden of malnutrition and the body mass index is significantly high among these adolescents, associated with SSB consumption. However, BMI is no significantly related to dietary knowledge.","PeriodicalId":301862,"journal":{"name":"International Journal of Membrane Science and Technology","volume":"39 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140729919","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}
The purpose of this study was to investigate the impact of the interactive model known as "Exelearning.net" on improving reading comprehension skills among students of Basic Superior in Santa Elena, Ecuador. An experimental study with a quantitative approach was conducted, involving a sample of 70 students divided into two groups of 35. Pre and post-tests were administered to assess reading comprehension. Statistical analyses revealed significant improvements in the dimensions of literal, inferential, and critical comprehension, with higher scores in the experimental group than in the control group. The results showed a significance level of < 0.001, indicating that the application of the interactive model ExeLearning.net had a positive impact on strengthening students' reading comprehension skills. These findings suggest that using interactive programs can facilitate the relationship between reading and text comprehension.
{"title":"Improvement Of Reading Comprehension Skills Through the Exelearning.Net Interactive Model in Upper Basic Students","authors":"Beltrán Ponce Carmen Miryam, Calderón Sánchez Ángela Alexandra, Tomalá Catuto Yajayra Evarista, Muñoz Angel Maribel Narcisa","doi":"10.15379/ijmst.v11i1.3639","DOIUrl":"https://doi.org/10.15379/ijmst.v11i1.3639","url":null,"abstract":"The purpose of this study was to investigate the impact of the interactive model known as \"Exelearning.net\" on improving reading comprehension skills among students of Basic Superior in Santa Elena, Ecuador. An experimental study with a quantitative approach was conducted, involving a sample of 70 students divided into two groups of 35. Pre and post-tests were administered to assess reading comprehension. Statistical analyses revealed significant improvements in the dimensions of literal, inferential, and critical comprehension, with higher scores in the experimental group than in the control group. The results showed a significance level of < 0.001, indicating that the application of the interactive model ExeLearning.net had a positive impact on strengthening students' reading comprehension skills. These findings suggest that using interactive programs can facilitate the relationship between reading and text comprehension.","PeriodicalId":301862,"journal":{"name":"International Journal of Membrane Science and Technology","volume":"19 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140734933","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}
Many practitioners and investors have praised the use of licensing to enhance competition in the telecom sector due to its real effects on the Nigerian economy. However, since 2011, subscribers in the industry have had a mixed experience with the license issue due to problems with telecom companies' exploitative tendencies and antics, which make it difficult for customers to acquire reliable and reasonably priced telecoms services. With a focus on the institutional and legal safeguards put in place by the government to ensure that the operators abide by the licensing and regulation powers granted to them by the law, the study essentially examines how licensing affects competition among telecom operators and the expansion of mobile telecom networks in Nigeria. The paper's methodology adopted the documentary approach, and the data were ostensibly gathered from secondary sources and examined in terms of substance. Neo-liberal theory of the state provided a sufficient theoretical foundation for the examination of the study. The paper's findings demonstrate that while the expansion of Nigeria's mobile telecom networks is aided by the use of licensing to promote competition among telecom operators, consumers' access to affordable and high-quality telecommunications services is restricted by the exploitative tendencies and antics of telecom companies. The paper's suggestions were based on these findings, and one of them was that Telecommunications service tariffs must always be cost-oriented and reflect the actual costs borne by operators to provide the services in question.
{"title":"The Use of Licensing to Promote Competition among Telecom Operators and the Growth of Mobile Telecommunication Networks in Nigeria, 2011-2022","authors":"Ogu Esomchi Chris-Sanctus, Ogbanje Sunday, Ejiofor Chukwuemeka Chinedu, Semshak Danladi Kassem","doi":"10.15379/ijmst.v10i5.3640","DOIUrl":"https://doi.org/10.15379/ijmst.v10i5.3640","url":null,"abstract":"Many practitioners and investors have praised the use of licensing to enhance competition in the telecom sector due to its real effects on the Nigerian economy. However, since 2011, subscribers in the industry have had a mixed experience with the license issue due to problems with telecom companies' exploitative tendencies and antics, which make it difficult for customers to acquire reliable and reasonably priced telecoms services. With a focus on the institutional and legal safeguards put in place by the government to ensure that the operators abide by the licensing and regulation powers granted to them by the law, the study essentially examines how licensing affects competition among telecom operators and the expansion of mobile telecom networks in Nigeria. The paper's methodology adopted the documentary approach, and the data were ostensibly gathered from secondary sources and examined in terms of substance. Neo-liberal theory of the state provided a sufficient theoretical foundation for the examination of the study. The paper's findings demonstrate that while the expansion of Nigeria's mobile telecom networks is aided by the use of licensing to promote competition among telecom operators, consumers' access to affordable and high-quality telecommunications services is restricted by the exploitative tendencies and antics of telecom companies. The paper's suggestions were based on these findings, and one of them was that Telecommunications service tariffs must always be cost-oriented and reflect the actual costs borne by operators to provide the services in question.","PeriodicalId":301862,"journal":{"name":"International Journal of Membrane Science and Technology","volume":"5 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140739247","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}
Pub Date : 2024-04-04DOI: 10.15379/ijmst.v11i1.3625
Nabil A. Alhemiary
Metal nanoparticles and activated carbon-based nanocomposite materials are gaining popularity due to their numerous potential applications in a wide range of materials science areas. The current study aims to create novel photocatalyst frameworks for nanocomposites that were synthesized from biogenic waste and used to photodegrade methylene blue (MB) in wastewater under visible light. The activated carbon from date seeds was calcinated at a temperature of 700°C for two hours, and its surface was improved using zinc oxide nanoparticles and calcium oxide nanoparticles manufactured from eggshells at 900oC. XRD, FT-IR, SEM, BET, and TEM analyses were used to characterize the produced nanocomposites. The synthesized nanocomposite photocatalytic activity was evaluated by degrading MB dyes, its model of water pollution. The results showed that the nanocomposite CaO/AC/ZnO has a mesoporous structure with great sorption capability. Also, the photodegradation efficiency of MB using AC, CaO, AC/ZnO, and CaO/AC/ZnO nanocomposite was 33.23, 37.58, 54.61, and 88.92%, respectively, after100 min of sunlight irradiation indicating that photodegradation efficiency increases by improving the surface properties of AC. The CaO/AC/ZnO nanocomposite exhibited a 96.7% removal efficiency of MB following 120 min of visible light radiation exposure. Therefore, the CaO/AC/ZnO nanocomposite has a promising opportunity to function as a versatile and effective photocatalyst for photodegradation of organic dyes in wastewater.
{"title":"Synthesis of Novel Nanocomposite CaO/AC/ZnO from Biogenic Wastes of Date Palm Seeds from The Najran Region (Saudi Arabia) and Eggshells for Degradation of Methylene Blue","authors":"Nabil A. Alhemiary","doi":"10.15379/ijmst.v11i1.3625","DOIUrl":"https://doi.org/10.15379/ijmst.v11i1.3625","url":null,"abstract":"Metal nanoparticles and activated carbon-based nanocomposite materials are gaining popularity due to their numerous potential applications in a wide range of materials science areas. The current study aims to create novel photocatalyst frameworks for nanocomposites that were synthesized from biogenic waste and used to photodegrade methylene blue (MB) in wastewater under visible light. The activated carbon from date seeds was calcinated at a temperature of 700°C for two hours, and its surface was improved using zinc oxide nanoparticles and calcium oxide nanoparticles manufactured from eggshells at 900oC. XRD, FT-IR, SEM, BET, and TEM analyses were used to characterize the produced nanocomposites. The synthesized nanocomposite photocatalytic activity was evaluated by degrading MB dyes, its model of water pollution. The results showed that the nanocomposite CaO/AC/ZnO has a mesoporous structure with great sorption capability. Also, the photodegradation efficiency of MB using AC, CaO, AC/ZnO, and CaO/AC/ZnO nanocomposite was 33.23, 37.58, 54.61, and 88.92%, respectively, after100 min of sunlight irradiation indicating that photodegradation efficiency increases by improving the surface properties of AC. The CaO/AC/ZnO nanocomposite exhibited a 96.7% removal efficiency of MB following 120 min of visible light radiation exposure. Therefore, the CaO/AC/ZnO nanocomposite has a promising opportunity to function as a versatile and effective photocatalyst for photodegradation of organic dyes in wastewater.","PeriodicalId":301862,"journal":{"name":"International Journal of Membrane Science and Technology","volume":"39 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140743477","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}
Pub Date : 2024-04-01DOI: 10.15379/ijmst.v11i1.3621
Carlos Alberto Hinojosa Salazar, Benjamín Roldan Polo Escobar, Sara Emilia Remuzgo Huamán, Julio Arévalo Reátegui, Franz Tito Coronel Zubiate, Juan Manuel Buendía Fernández
In a changing business environment, tax evasion poses a crucial challenge that impacts public finances and competitive equity. This study focuses on applying artificial intelligence in the tax management of micro and small enterprises (MSEs) in Chachapoyas, Peru, between 2018 and 2022. The objective of this study is to investigate how the application of artificial intelligence in the tax management of micro and small enterprises (MSEs) in Chachapoyas, Peru, can contribute to greater tax equity and strengthen corporate social responsibility, thus fostering a fairer and more supportive tax environment in the community. The proposed methodology involves collecting and analyzing the financial statements of micro and small enterprises (MSEs), as well as conducting interviews and questionnaires with their owners. It will focus on five specific objectives ranging from the identification of the causes of tax evasion to the evaluation of MSEs' willingness to adopt technologies in their tax management. In conclusion, promoting the adoption of artificial intelligence could strengthen trust in the tax system, increase tax collection for the common benefit and support the sustainable development of local businesses, generating a positive impact on the community and society as a whole.
{"title":"Tax Evasion in Chachapoyas: A Problem That the Ia Can Solve","authors":"Carlos Alberto Hinojosa Salazar, Benjamín Roldan Polo Escobar, Sara Emilia Remuzgo Huamán, Julio Arévalo Reátegui, Franz Tito Coronel Zubiate, Juan Manuel Buendía Fernández","doi":"10.15379/ijmst.v11i1.3621","DOIUrl":"https://doi.org/10.15379/ijmst.v11i1.3621","url":null,"abstract":"In a changing business environment, tax evasion poses a crucial challenge that impacts public finances and competitive equity. This study focuses on applying artificial intelligence in the tax management of micro and small enterprises (MSEs) in Chachapoyas, Peru, between 2018 and 2022. The objective of this study is to investigate how the application of artificial intelligence in the tax management of micro and small enterprises (MSEs) in Chachapoyas, Peru, can contribute to greater tax equity and strengthen corporate social responsibility, thus fostering a fairer and more supportive tax environment in the community. The proposed methodology involves collecting and analyzing the financial statements of micro and small enterprises (MSEs), as well as conducting interviews and questionnaires with their owners. It will focus on five specific objectives ranging from the identification of the causes of tax evasion to the evaluation of MSEs' willingness to adopt technologies in their tax management. In conclusion, promoting the adoption of artificial intelligence could strengthen trust in the tax system, increase tax collection for the common benefit and support the sustainable development of local businesses, generating a positive impact on the community and society as a whole.","PeriodicalId":301862,"journal":{"name":"International Journal of Membrane Science and Technology","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140785261","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}
Pub Date : 2024-03-28DOI: 10.15379/ijmst.v11i1.3598
Ali H. Halawi, Wael Zaraket, Kholoud Fadel
The purpose of this article is to study both customer service and ethics separately, and then conclude their correlation with personality, particularly the major five personality traits. All the way through there will be contrast made between Lebanon and United States. Literature analysis from diverse researchers on each subject, and expectations discussion of both the Lebanese and American people within each field. The main technique is studying contemporary literature. Resemblances exist among expectations in Lebanon and United States in the subject of customer service and ethics. Moreover, ethics and customer service necessitate specific personality styles where each one is studied. This article aims to understand what excellent customer service and ethics is, then afterwards relating them both to personality, supply managers with ideas on what to look for and suggestions for future testing and research, contribute in the meaning that both Lebanon and United States cultures are examined, which provides insight to a country that Lebanon highly relates to.
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