Carlos Ernesto Herrera Acosta, Doménica Lizbeth Albán Jácome, Ana Lucia Machado Ashqui, Gianella Liseth Aldaz Arevalo
The evolution of mankind, driven by developments in society, science, and technology, has had a significant impact on Mother Earth or nature, resulting in serious effects on the environment, ecosystems, and biodiversity. This research critically analyses illicit acts that violate the rights of nature and assesses their environmental impact. To achieve this, we employed an approach that incorporates inductive, dogmatic, historical-logical, and descriptive legal methods through a non-experimental design. The research results show a concerning lack of respect for the rights of nature in Ecuador. Furthermore, the inadequate control of illegal acts, including the endorsement of deforestation and the illegal and irresponsible extraction of natural resources, are causing a substantial negative impact on the environment, ecosystems, flora, and fauna.
{"title":"Unlawful acts against the rights of nature and environmental impact","authors":"Carlos Ernesto Herrera Acosta, Doménica Lizbeth Albán Jácome, Ana Lucia Machado Ashqui, Gianella Liseth Aldaz Arevalo","doi":"10.51798/sijis.v5i1.742","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.742","url":null,"abstract":"The evolution of mankind, driven by developments in society, science, and technology, has had a significant impact on Mother Earth or nature, resulting in serious effects on the environment, ecosystems, and biodiversity. This research critically analyses illicit acts that violate the rights of nature and assesses their environmental impact. To achieve this, we employed an approach that incorporates inductive, dogmatic, historical-logical, and descriptive legal methods through a non-experimental design. The research results show a concerning lack of respect for the rights of nature in Ecuador. Furthermore, the inadequate control of illegal acts, including the endorsement of deforestation and the illegal and irresponsible extraction of natural resources, are causing a substantial negative impact on the environment, ecosystems, flora, and fauna.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140091288","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}
Annabel Fernández Alfonso, Katherine María Guevara Suárez, Cristian Xavier Proaño Bautista, Rosa Mercerdes Cantos Cantos, Gissela Nicool Calvache Cañar
Background: Chronic respiratory diseases, such as asthma, chronic obstructive pulmonary disease (COPD), interstitial lung disease, and cystic fibrosis, present substantial global health challenges. This systematic review explores recent advances in imaging-based diagnostic methods for these conditions, emphasizing high-resolution computed tomography (HRCT), magnetic resonance imaging (MRI), positron emission tomography (PET), and artificial intelligence (AI). Methodology: A systematic search of databases identified studies published in the last five years, focusing on innovative imaging techniques for chronic respiratory diseases. Inclusion criteria emphasized diagnostic accuracy and advancements in imaging modalities. Results: Seven studies were included, covering interventions in intensive care, mesenchymal stem cell therapy for COVID-19-induced acute respiratory distress syndrome (ARDS), endovascular treatment for aortic arch aneurysms, and lung cancer screening. MSC therapy demonstrated positive outcomes in ARDS patients, while endovascular repair showed technical success. LungSEARCH highlighted the effectiveness of lung cancer screening in high-risk populations. Discussion: Recent imaging technologies, including HRCT, MRI, PET, and AI, have revolutionized chronic respiratory disease diagnosis. The review emphasizes their clinical applications, impact on patient outcomes, and potential for personalized medicine. AI enhances image analysis accuracy, yet challenges like cost and interpretation discrepancies persist. Conclusion: Imaging technologies, particularly HRCT, MRI, PET, and AI, show promise in improving diagnostic accuracy and personalized treatment for chronic respiratory diseases. Collaboration among healthcare professionals, researchers, and industry stakeholders is crucial for addressing challenges and ensuring widespread access to advanced diagnostic tools. Future directions involve refining imaging methods for routine clinical integration, advancing patient care, and reducing the burden of respiratory diseases.
背景：慢性呼吸系统疾病，如哮喘、慢性阻塞性肺病（COPD）、间质性肺病和囊性纤维化等，给全球健康带来了巨大挑战。本系统综述探讨了这些疾病的影像诊断方法的最新进展，重点关注高分辨率计算机断层扫描（HRCT）、磁共振成像（MRI）、正电子发射断层扫描（PET）和人工智能（AI）。研究方法：通过对数据库进行系统检索，确定了过去五年中发表的研究报告，重点关注慢性呼吸系统疾病的创新成像技术。纳入标准强调诊断准确性和成像模式的先进性。结果：共纳入七项研究，包括重症监护干预、间充质干细胞疗法治疗COVID-19诱发的急性呼吸窘迫综合征（ARDS）、主动脉弓动脉瘤的血管内治疗和肺癌筛查。间充质干细胞疗法在急性呼吸窘迫综合征患者中取得了积极的疗效，而血管内修复术则取得了技术上的成功。LungSEARCH 强调了肺癌筛查在高危人群中的有效性。讨论：包括 HRCT、MRI、PET 和 AI 在内的最新成像技术已彻底改变了慢性呼吸系统疾病的诊断。综述强调了这些技术的临床应用、对患者预后的影响以及个性化医疗的潜力。人工智能提高了图像分析的准确性，但成本和解释差异等挑战依然存在。结论成像技术，尤其是 HRCT、MRI、PET 和人工智能，有望提高慢性呼吸系统疾病的诊断准确性和个性化治疗。医疗保健专业人员、研究人员和行业利益相关者之间的合作对于应对挑战和确保广泛使用先进诊断工具至关重要。未来的发展方向包括完善常规临床整合的成像方法、促进患者护理以及减轻呼吸系统疾病的负担。
{"title":"New perspectives on advances in diagnosis through imaging in chronic respiratory diseases: a systematic literature review","authors":"Annabel Fernández Alfonso, Katherine María Guevara Suárez, Cristian Xavier Proaño Bautista, Rosa Mercerdes Cantos Cantos, Gissela Nicool Calvache Cañar","doi":"10.51798/sijis.v5i1.717","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.717","url":null,"abstract":"Background: Chronic respiratory diseases, such as asthma, chronic obstructive pulmonary disease (COPD), interstitial lung disease, and cystic fibrosis, present substantial global health challenges. This systematic review explores recent advances in imaging-based diagnostic methods for these conditions, emphasizing high-resolution computed tomography (HRCT), magnetic resonance imaging (MRI), positron emission tomography (PET), and artificial intelligence (AI). Methodology: A systematic search of databases identified studies published in the last five years, focusing on innovative imaging techniques for chronic respiratory diseases. Inclusion criteria emphasized diagnostic accuracy and advancements in imaging modalities. Results: Seven studies were included, covering interventions in intensive care, mesenchymal stem cell therapy for COVID-19-induced acute respiratory distress syndrome (ARDS), endovascular treatment for aortic arch aneurysms, and lung cancer screening. MSC therapy demonstrated positive outcomes in ARDS patients, while endovascular repair showed technical success. LungSEARCH highlighted the effectiveness of lung cancer screening in high-risk populations. Discussion: Recent imaging technologies, including HRCT, MRI, PET, and AI, have revolutionized chronic respiratory disease diagnosis. The review emphasizes their clinical applications, impact on patient outcomes, and potential for personalized medicine. AI enhances image analysis accuracy, yet challenges like cost and interpretation discrepancies persist. Conclusion: Imaging technologies, particularly HRCT, MRI, PET, and AI, show promise in improving diagnostic accuracy and personalized treatment for chronic respiratory diseases. Collaboration among healthcare professionals, researchers, and industry stakeholders is crucial for addressing challenges and ensuring widespread access to advanced diagnostic tools. Future directions involve refining imaging methods for routine clinical integration, advancing patient care, and reducing the burden of respiratory diseases.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":"22 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140436606","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}
Gender-based violence is one of the problems that most afflict Mexican society, and the most affected are women; with globalization and increased access to technology for many people, it has crossed the boundaries of the physical environment to manifest itself in digital spaces. There is a lack of literature approaching this problem, justifying the relevance of this research. The general objective of this paper is to analyze the current context of gender-based digital violence from the experience of public servants who currently provide care to women victims of gender-based digital violence in Nuevo León, Mexico. To carry out this research, a qualitative design was used in which 15 interviews were conducted with people who currently work as public prosecutors in the state of Nuevo León. For the analysis of the information, we opted for a thematic analysis based on the proposal of Braun and Clarke (2006), and for the treatment of the data we used the qualitative software Maxqda. In general terms, it was detected that many of the cases are not reported and involve bureaucratic and administrative problems that limit and hinder attention and resolution.
{"title":"Digital gender-based violence from the experience of actors in the delivery of justice","authors":"Luz Alejandra Escalera Silva, Sandra Rubí Amador Corral, Yuri Marisol Lara Hernández","doi":"10.51798/sijis.v5i1.741","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.741","url":null,"abstract":"Gender-based violence is one of the problems that most afflict Mexican society, and the most affected are women; with globalization and increased access to technology for many people, it has crossed the boundaries of the physical environment to manifest itself in digital spaces. There is a lack of literature approaching this problem, justifying the relevance of this research. The general objective of this paper is to analyze the current context of gender-based digital violence from the experience of public servants who currently provide care to women victims of gender-based digital violence in Nuevo León, Mexico. To carry out this research, a qualitative design was used in which 15 interviews were conducted with people who currently work as public prosecutors in the state of Nuevo León. For the analysis of the information, we opted for a thematic analysis based on the proposal of Braun and Clarke (2006), and for the treatment of the data we used the qualitative software Maxqda. In general terms, it was detected that many of the cases are not reported and involve bureaucratic and administrative problems that limit and hinder attention and resolution.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":"27 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140437125","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 research aimed to regenerate degraded soils by obtaining samples in the commune of Los Bajos del Pechiche, canton Montecristo, Ecuador. Germination trays and samples of partially degraded and degraded soils as well as fertile soil were used as control for results comparison. Characterization of bokashi with mountain microorganisms was carried out in laboratories using physical, chemical, and microbiological analyses. In a bioassay, bell pepper seedlings were evaluated in treatments of degraded soil mixtures with different combinations of bokashi with mountain microorganisms through response variables: germination at 10 days, number of leaflets in seedlings at 15-30 days, plant height at 30 days and root diameter at 30 days. The doses of bokashi with mountain microorganisms were mixed with degraded soil in the following proportions 25%, 50%, and 75%, respectively. The best treatments were established as 75% degraded and partially degraded soil plus 25% bokashi with mountain microorganisms since the highest values were obtained in the different variables. The laboratory analyses presented bokashi organic fertilizer with mountain microorganisms as an excellent alternative for the regeneration of degraded agricultural soils. The results when compared with the analysis of degraded soil and the levels of FAO concerning the soils using a universal scale demonstrated its efficient alternative for bioremediation. Regarding the economic dimension, it has very high values unfeasible for producers or farmers. Then, the Ecuadorian State should establish promotion policies, including subsidies to make the regeneration of degraded soils a reality and not a utopia.
{"title":"Bioassay for bioremediation of degraded agricultural soil using bokashi compost with mountain microorganisms and bell pepper (Capsicum annum) indicator plants","authors":"Derian Reynaldo Paredes Pita, Celio Danilo Bravo Moreira, Italo Pedro Bello Moreira, Gregorio Evaristo Mendoza García, Xavier Enrique Anchundia Muentes, Angel Vicente Pérez Bravo","doi":"10.51798/sijis.v5i1.740","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.740","url":null,"abstract":"The research aimed to regenerate degraded soils by obtaining samples in the commune of Los Bajos del Pechiche, canton Montecristo, Ecuador. Germination trays and samples of partially degraded and degraded soils as well as fertile soil were used as control for results comparison. Characterization of bokashi with mountain microorganisms was carried out in laboratories using physical, chemical, and microbiological analyses. In a bioassay, bell pepper seedlings were evaluated in treatments of degraded soil mixtures with different combinations of bokashi with mountain microorganisms through response variables: germination at 10 days, number of leaflets in seedlings at 15-30 days, plant height at 30 days and root diameter at 30 days. The doses of bokashi with mountain microorganisms were mixed with degraded soil in the following proportions 25%, 50%, and 75%, respectively. The best treatments were established as 75% degraded and partially degraded soil plus 25% bokashi with mountain microorganisms since the highest values were obtained in the different variables. The laboratory analyses presented bokashi organic fertilizer with mountain microorganisms as an excellent alternative for the regeneration of degraded agricultural soils. The results when compared with the analysis of degraded soil and the levels of FAO concerning the soils using a universal scale demonstrated its efficient alternative for bioremediation. Regarding the economic dimension, it has very high values unfeasible for producers or farmers. Then, the Ecuadorian State should establish promotion policies, including subsidies to make the regeneration of degraded soils a reality and not a utopia.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140436633","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}
Byron Díaz-Monroy, María Fernanda Baquero-Tapia, Ronald Díaz-Arrieta
Food biotechnology is a modern science that generates interesting goods and services for society, it is part of the curriculum of agribusiness engineering careers in Ecuadorian universities. The objective was to determine the influence of the teaching system (in-person and blended) on learning levels. The sample consisted of four hundred students of the fifth level of the aforementioned career, divided into 8 different academic semester periods, during 4 consecutive years (2018, 2019, 2020, and 2021), four in an in-person system and four in a blended system (in-person and online) of an Ecuadorian public university, through a quasi-experimental type of research. The evaluation was carried out using both the grade records obtained by the students, as well as the application of a theoretical and practical test at the end of the course. The data were analyzed using descriptive statistics and a Student's t-test (P≤0.05). It was found that the in-person education system allows 72 % of learning of Biotechnology knowledge while the blended system improves it by up to 86 % with statistical differences between them, so Biotechnology is better understood and applied through a blended system of education.
食品生物技术是一门现代科学，能为社会提供有趣的产品和服务，是厄瓜多尔大学农业综合企业工程专业课程的一部分。研究的目的是确定教学系统（面授和混合式）对学习水平的影响。样本由厄瓜多尔一所公立大学上述专业第五级的四百名学生组成，通过准实验类型的研究，在连续四年（2018、2019、2020和2021年）期间分为8个不同的学期，其中4个是面授系统，4个是混合系统（面授和在线）。评估使用了学生的成绩记录以及课程结束时的理论和实践测试。数据分析采用了描述性统计和学生 t 检验（P≤0.05）。结果发现，面授教育系统能让学生学到 72% 的生物技术知识，而混合教育系统则能让学生学到 86% 的生物技术知识，两者之间存在统计学差异，因此通过混合教育系统能更好地理解和应用生物技术。
{"title":"Teaching food biotechnology in a university engineering program: blended and in-person approaches in Ecuador","authors":"Byron Díaz-Monroy, María Fernanda Baquero-Tapia, Ronald Díaz-Arrieta","doi":"10.51798/sijis.v5i1.738","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.738","url":null,"abstract":"Food biotechnology is a modern science that generates interesting goods and services for society, it is part of the curriculum of agribusiness engineering careers in Ecuadorian universities. The objective was to determine the influence of the teaching system (in-person and blended) on learning levels. The sample consisted of four hundred students of the fifth level of the aforementioned career, divided into 8 different academic semester periods, during 4 consecutive years (2018, 2019, 2020, and 2021), four in an in-person system and four in a blended system (in-person and online) of an Ecuadorian public university, through a quasi-experimental type of research. The evaluation was carried out using both the grade records obtained by the students, as well as the application of a theoretical and practical test at the end of the course. The data were analyzed using descriptive statistics and a Student's t-test (P≤0.05). It was found that the in-person education system allows 72 % of learning of Biotechnology knowledge while the blended system improves it by up to 86 % with statistical differences between them, so Biotechnology is better understood and applied through a blended system of education.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":"103 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139786224","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}
Byron Díaz-Monroy, María Fernanda Baquero-Tapia, Ronald Díaz-Arrieta
Food biotechnology is a modern science that generates interesting goods and services for society, it is part of the curriculum of agribusiness engineering careers in Ecuadorian universities. The objective was to determine the influence of the teaching system (in-person and blended) on learning levels. The sample consisted of four hundred students of the fifth level of the aforementioned career, divided into 8 different academic semester periods, during 4 consecutive years (2018, 2019, 2020, and 2021), four in an in-person system and four in a blended system (in-person and online) of an Ecuadorian public university, through a quasi-experimental type of research. The evaluation was carried out using both the grade records obtained by the students, as well as the application of a theoretical and practical test at the end of the course. The data were analyzed using descriptive statistics and a Student's t-test (P≤0.05). It was found that the in-person education system allows 72 % of learning of Biotechnology knowledge while the blended system improves it by up to 86 % with statistical differences between them, so Biotechnology is better understood and applied through a blended system of education.
食品生物技术是一门现代科学，能为社会提供有趣的产品和服务，是厄瓜多尔大学农业综合企业工程专业课程的一部分。研究的目的是确定教学系统（面授和混合式）对学习水平的影响。样本由厄瓜多尔一所公立大学上述专业第五级的四百名学生组成，通过准实验类型的研究，在连续四年（2018、2019、2020和2021年）期间分为8个不同的学期，其中4个是面授系统，4个是混合系统（面授和在线）。评估使用了学生的成绩记录以及课程结束时的理论和实践测试。数据分析采用了描述性统计和学生 t 检验（P≤0.05）。结果发现，面授教育系统能让学生学到 72% 的生物技术知识，而混合教育系统则能让学生学到 86% 的生物技术知识，两者之间存在统计学差异，因此通过混合教育系统能更好地理解和应用生物技术。
{"title":"Teaching food biotechnology in a university engineering program: blended and in-person approaches in Ecuador","authors":"Byron Díaz-Monroy, María Fernanda Baquero-Tapia, Ronald Díaz-Arrieta","doi":"10.51798/sijis.v5i1.738","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.738","url":null,"abstract":"Food biotechnology is a modern science that generates interesting goods and services for society, it is part of the curriculum of agribusiness engineering careers in Ecuadorian universities. The objective was to determine the influence of the teaching system (in-person and blended) on learning levels. The sample consisted of four hundred students of the fifth level of the aforementioned career, divided into 8 different academic semester periods, during 4 consecutive years (2018, 2019, 2020, and 2021), four in an in-person system and four in a blended system (in-person and online) of an Ecuadorian public university, through a quasi-experimental type of research. The evaluation was carried out using both the grade records obtained by the students, as well as the application of a theoretical and practical test at the end of the course. The data were analyzed using descriptive statistics and a Student's t-test (P≤0.05). It was found that the in-person education system allows 72 % of learning of Biotechnology knowledge while the blended system improves it by up to 86 % with statistical differences between them, so Biotechnology is better understood and applied through a blended system of education.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":"37 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139845847","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}
This research focuses on analyzing the Value Added Tax (VAT) collection in the Ecuadorian system for 2015 - 2023. For this purpose, an approach to VAT in Latin America and the Caribbean is made and the analysis is deepened in the official statistics of Ecuadorian collection. It was necessary to apply a methodological route that consisted of a bibliographic-documentary study and a mixed qualitative and quantitative approach that allowed the analysis of numerical data on VAT collection, ratios, and refunds. The main results reflect a trend of constant growth in collection and refunds, with the year 2023, with partial information up to September, being the year that has achieved historical values of collection and refunds. Finally, although the goals remain close to the collection, the deviations of some fiscal years suggest significant economic challenges. Employing ANOVA, significant differences can be considered that go beyond the collection goal and differ in the effectiveness of the tax system concerning VAT.
{"title":"Analysis of value added tax (VAT) collection in Ecuador, period 2015-2023","authors":"Marcela Patricia Vizuete Achig, Sandra Marivel Toaquiza Toapanta, Lorena Antonieta Navas Álvarez, Milton Fernando Hidalgo Achig","doi":"10.51798/sijis.v5i1.736","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.736","url":null,"abstract":"This research focuses on analyzing the Value Added Tax (VAT) collection in the Ecuadorian system for 2015 - 2023. For this purpose, an approach to VAT in Latin America and the Caribbean is made and the analysis is deepened in the official statistics of Ecuadorian collection. It was necessary to apply a methodological route that consisted of a bibliographic-documentary study and a mixed qualitative and quantitative approach that allowed the analysis of numerical data on VAT collection, ratios, and refunds. The main results reflect a trend of constant growth in collection and refunds, with the year 2023, with partial information up to September, being the year that has achieved historical values of collection and refunds. Finally, although the goals remain close to the collection, the deviations of some fiscal years suggest significant economic challenges. Employing ANOVA, significant differences can be considered that go beyond the collection goal and differ in the effectiveness of the tax system concerning VAT.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139847076","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}
This research focuses on analyzing the Value Added Tax (VAT) collection in the Ecuadorian system for 2015 - 2023. For this purpose, an approach to VAT in Latin America and the Caribbean is made and the analysis is deepened in the official statistics of Ecuadorian collection. It was necessary to apply a methodological route that consisted of a bibliographic-documentary study and a mixed qualitative and quantitative approach that allowed the analysis of numerical data on VAT collection, ratios, and refunds. The main results reflect a trend of constant growth in collection and refunds, with the year 2023, with partial information up to September, being the year that has achieved historical values of collection and refunds. Finally, although the goals remain close to the collection, the deviations of some fiscal years suggest significant economic challenges. Employing ANOVA, significant differences can be considered that go beyond the collection goal and differ in the effectiveness of the tax system concerning VAT.
{"title":"Analysis of value added tax (VAT) collection in Ecuador, period 2015-2023","authors":"Marcela Patricia Vizuete Achig, Sandra Marivel Toaquiza Toapanta, Lorena Antonieta Navas Álvarez, Milton Fernando Hidalgo Achig","doi":"10.51798/sijis.v5i1.736","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.736","url":null,"abstract":"This research focuses on analyzing the Value Added Tax (VAT) collection in the Ecuadorian system for 2015 - 2023. For this purpose, an approach to VAT in Latin America and the Caribbean is made and the analysis is deepened in the official statistics of Ecuadorian collection. It was necessary to apply a methodological route that consisted of a bibliographic-documentary study and a mixed qualitative and quantitative approach that allowed the analysis of numerical data on VAT collection, ratios, and refunds. The main results reflect a trend of constant growth in collection and refunds, with the year 2023, with partial information up to September, being the year that has achieved historical values of collection and refunds. Finally, although the goals remain close to the collection, the deviations of some fiscal years suggest significant economic challenges. Employing ANOVA, significant differences can be considered that go beyond the collection goal and differ in the effectiveness of the tax system concerning VAT.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":" 1019","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139787133","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}
Raul Jonathan Ríos Quinte, Alisson Berenice Ortiz Osorio, César David Toaquiza Toapanta, Elsa Alicia Landi Faican, Jefferson Alexander García Toala
Introduction: With 1.93 million new instances of colorectal cancer (CRC) reported in 2020, the disease presents a danger to world health. With its potential to improve CRC management, artificial intelligence (AI) has become increasingly prominent in the medical field. This research attempts to evaluate the current status of AI applications in CRC diagnosis and treatment, considering regional differences in healthcare systems and populations. Methodology: On databases like ScienceDirect, Google Scholar, and PubMed, a systematic literature evaluation was carried out using search phrases including "artificial intelligence," "colorectal cancer," "diagnosis," and "treatment." English-language research on AI applications in CRC diagnosis and treatment that were published during the previous five years met the inclusion criteria. Results: Endoscopic, non-invasive, histological, and radiographic techniques are among the AI applications used in CRC diagnosis. Prognostic forecasts, diagnostic accuracy, and tumor segmentation are all significantly enhanced by AI. AI helps with targeted therapy and chemoradiotherapy decision-making, improves surgical accuracy, and helps with personalized regimens. Conclusion: The use of AI in colorectal cancer management has the potential for timely identification, precise diagnosis, and customized care. Continuous developments in AI algorithms and clinical data support the development of precision medicine, which offers significant gains in CRC treatment and detection.
{"title":"New advances in artificial intelligence for the diagnosis and treatment of colorectal cancer: a literature review","authors":"Raul Jonathan Ríos Quinte, Alisson Berenice Ortiz Osorio, César David Toaquiza Toapanta, Elsa Alicia Landi Faican, Jefferson Alexander García Toala","doi":"10.51798/sijis.v5i1.733","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.733","url":null,"abstract":"Introduction: With 1.93 million new instances of colorectal cancer (CRC) reported in 2020, the disease presents a danger to world health. With its potential to improve CRC management, artificial intelligence (AI) has become increasingly prominent in the medical field. This research attempts to evaluate the current status of AI applications in CRC diagnosis and treatment, considering regional differences in healthcare systems and populations. Methodology: On databases like ScienceDirect, Google Scholar, and PubMed, a systematic literature evaluation was carried out using search phrases including \"artificial intelligence,\" \"colorectal cancer,\" \"diagnosis,\" and \"treatment.\" English-language research on AI applications in CRC diagnosis and treatment that were published during the previous five years met the inclusion criteria. Results: Endoscopic, non-invasive, histological, and radiographic techniques are among the AI applications used in CRC diagnosis. Prognostic forecasts, diagnostic accuracy, and tumor segmentation are all significantly enhanced by AI. AI helps with targeted therapy and chemoradiotherapy decision-making, improves surgical accuracy, and helps with personalized regimens. Conclusion: The use of AI in colorectal cancer management has the potential for timely identification, precise diagnosis, and customized care. Continuous developments in AI algorithms and clinical data support the development of precision medicine, which offers significant gains in CRC treatment and detection.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855605","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}
Raul Jonathan Ríos Quinte, Alisson Berenice Ortiz Osorio, César David Toaquiza Toapanta, Elsa Alicia Landi Faican, Jefferson Alexander García Toala
Introduction: With 1.93 million new instances of colorectal cancer (CRC) reported in 2020, the disease presents a danger to world health. With its potential to improve CRC management, artificial intelligence (AI) has become increasingly prominent in the medical field. This research attempts to evaluate the current status of AI applications in CRC diagnosis and treatment, considering regional differences in healthcare systems and populations. Methodology: On databases like ScienceDirect, Google Scholar, and PubMed, a systematic literature evaluation was carried out using search phrases including "artificial intelligence," "colorectal cancer," "diagnosis," and "treatment." English-language research on AI applications in CRC diagnosis and treatment that were published during the previous five years met the inclusion criteria. Results: Endoscopic, non-invasive, histological, and radiographic techniques are among the AI applications used in CRC diagnosis. Prognostic forecasts, diagnostic accuracy, and tumor segmentation are all significantly enhanced by AI. AI helps with targeted therapy and chemoradiotherapy decision-making, improves surgical accuracy, and helps with personalized regimens. Conclusion: The use of AI in colorectal cancer management has the potential for timely identification, precise diagnosis, and customized care. Continuous developments in AI algorithms and clinical data support the development of precision medicine, which offers significant gains in CRC treatment and detection.
{"title":"New advances in artificial intelligence for the diagnosis and treatment of colorectal cancer: a literature review","authors":"Raul Jonathan Ríos Quinte, Alisson Berenice Ortiz Osorio, César David Toaquiza Toapanta, Elsa Alicia Landi Faican, Jefferson Alexander García Toala","doi":"10.51798/sijis.v5i1.733","DOIUrl":"https://doi.org/10.51798/sijis.v5i1.733","url":null,"abstract":"Introduction: With 1.93 million new instances of colorectal cancer (CRC) reported in 2020, the disease presents a danger to world health. With its potential to improve CRC management, artificial intelligence (AI) has become increasingly prominent in the medical field. This research attempts to evaluate the current status of AI applications in CRC diagnosis and treatment, considering regional differences in healthcare systems and populations. Methodology: On databases like ScienceDirect, Google Scholar, and PubMed, a systematic literature evaluation was carried out using search phrases including \"artificial intelligence,\" \"colorectal cancer,\" \"diagnosis,\" and \"treatment.\" English-language research on AI applications in CRC diagnosis and treatment that were published during the previous five years met the inclusion criteria. Results: Endoscopic, non-invasive, histological, and radiographic techniques are among the AI applications used in CRC diagnosis. Prognostic forecasts, diagnostic accuracy, and tumor segmentation are all significantly enhanced by AI. AI helps with targeted therapy and chemoradiotherapy decision-making, improves surgical accuracy, and helps with personalized regimens. Conclusion: The use of AI in colorectal cancer management has the potential for timely identification, precise diagnosis, and customized care. Continuous developments in AI algorithms and clinical data support the development of precision medicine, which offers significant gains in CRC treatment and detection.","PeriodicalId":247613,"journal":{"name":"Sapienza: International Journal of Interdisciplinary Studies","volume":"25 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795751","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：