This study aims to develop a system for measuring the effectiveness of customer validation in the banking sector using a system dynamics approach. The proposed model illustrates how dynamic systems can optimize and stabilize financial unit operations by considering the interplay of various factors affecting credit risk. Simulation results over a two-year period demonstrate the significant impact of external pressures like sanctions and environmental conditions on the system. By implementing strategic policies and leveraging knowledge management, the study shows how banks can reduce default probabilities, enhance capital returns, and improve overall system quality. The research underscores the importance of preventive measures and efficient resource management in maintaining robust financial processes. Future recommendations include involving more experts, utilizing extensive quantitative data, and incorporating additional sub-parameters for more accurate predictions. DOI: https://doi.org/10.52783/pst.559
{"title":"Proposing a Novel System for Measuring the Effectiveness of Validating Customers of the Banking System based on the System Dynamics","authors":"Mojtaba Karamian","doi":"10.52783/pst.559","DOIUrl":"https://doi.org/10.52783/pst.559","url":null,"abstract":"This study aims to develop a system for measuring the effectiveness of customer validation in the banking sector using a system dynamics approach. The proposed model illustrates how dynamic systems can optimize and stabilize financial unit operations by considering the interplay of various factors affecting credit risk. Simulation results over a two-year period demonstrate the significant impact of external pressures like sanctions and environmental conditions on the system. By implementing strategic policies and leveraging knowledge management, the study shows how banks can reduce default probabilities, enhance capital returns, and improve overall system quality. The research underscores the importance of preventive measures and efficient resource management in maintaining robust financial processes. Future recommendations include involving more experts, utilizing extensive quantitative data, and incorporating additional sub-parameters for more accurate predictions.\u0000DOI: https://doi.org/10.52783/pst.559","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":"100 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141657579","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}
Elvony P. Casungcad, P. RhasieJane, Gantuangco, Niña M. Montemor, M. LoveFaith, Ricablanca, Archie L. Tangal, Joseph C. Pepito, Reylan Capuno, Honorio C. Añora, Imelda J. Villarin, Randy Mangubat, Emerson D. Peteros, Raymond C. Espina, Veronica O. Calasang
This study examined inclusive education’s stressors, impacts of stress, and coping strategies among 185 teachers recruited through complete enumeration from selected public schools in Mandaue City Division, Cebu, Philippines during the 2023-2024 school year. A descriptive-correlational research design was utilized to investigate relationships between the variables. Data was collected through a validated and structured questionnaire. Analysis of demographic profiles revealed the majority of respondents were female, aged 31-40 years with 6-10 years of experience. Over half were married. Most held some master's degree units, had received prior inclusive education training, and reported awareness of policies pertaining to inclusion. Results showed teachers experienced moderate overall stress from factors like workload, time constraints, disruptive student behaviors, and insufficient resources. Stress manifested occasionally as exhaustion, frustration, and feelings of being overwhelmed. Coping strategies included discussing issues with colleagues/family and engaging in relaxing activities, but were generally less utilized. Pearson r revealed a significant yet weak relationship between stressors and coping strategies. However, the relationship between stress impacts and coping strategies was non-significant. This suggests coping did not effectively mitigate detrimental stress effects. Notably, neither relationship was strong, with stressors more consistently linked to coping than impacts. These findings highlight the need for holistic teacher wellness programs in Mandaue City Division, addressing diverse challenges through targeted interventions like improved working conditions, adaptive skill-building, and various types of career-stage support. A multi-factorial approach considering the local context is needed to strengthen the resilience and retention of teachers within inclusive education long-term. The study validated the importance of optimizing teacher mental health and well-being given inclusion demands through a customized management plan. By systematically addressing educator needs, sustainability of quality inclusive services can be supported. DOI: https://doi.org/10.52783/pst.555
{"title":"Inclusive Teaching: Stressors, Impact of Stress, and Coping Strategies of Teachers in Public Schools","authors":"Elvony P. Casungcad, P. RhasieJane, Gantuangco, Niña M. Montemor, M. LoveFaith, Ricablanca, Archie L. Tangal, Joseph C. Pepito, Reylan Capuno, Honorio C. Añora, Imelda J. Villarin, Randy Mangubat, Emerson D. Peteros, Raymond C. Espina, Veronica O. Calasang","doi":"10.52783/pst.555","DOIUrl":"https://doi.org/10.52783/pst.555","url":null,"abstract":"This study examined inclusive education’s stressors, impacts of stress, and coping strategies among 185 teachers recruited through complete enumeration from selected public schools in Mandaue City Division, Cebu, Philippines during the 2023-2024 school year. A descriptive-correlational research design was utilized to investigate relationships between the variables. Data was collected through a validated and structured questionnaire. Analysis of demographic profiles revealed the majority of respondents were female, aged 31-40 years with 6-10 years of experience. Over half were married. Most held some master's degree units, had received prior inclusive education training, and reported awareness of policies pertaining to inclusion. Results showed teachers experienced moderate overall stress from factors like workload, time constraints, disruptive student behaviors, and insufficient resources. Stress manifested occasionally as exhaustion, frustration, and feelings of being overwhelmed. Coping strategies included discussing issues with colleagues/family and engaging in relaxing activities, but were generally less utilized. Pearson r revealed a significant yet weak relationship between stressors and coping strategies. However, the relationship between stress impacts and coping strategies was non-significant. This suggests coping did not effectively mitigate detrimental stress effects. Notably, neither relationship was strong, with stressors more consistently linked to coping than impacts. These findings highlight the need for holistic teacher wellness programs in Mandaue City Division, addressing diverse challenges through targeted interventions like improved working conditions, adaptive skill-building, and various types of career-stage support. A multi-factorial approach considering the local context is needed to strengthen the resilience and retention of teachers within inclusive education long-term. The study validated the importance of optimizing teacher mental health and well-being given inclusion demands through a customized management plan. By systematically addressing educator needs, sustainability of quality inclusive services can be supported.\u0000DOI: https://doi.org/10.52783/pst.555","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":"34 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141659246","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}
Analyn P. Arcipe, Alma D. Belocura, Mutya C. Cabrera, Anna Mae, B. Pason, Rona E. Quilaton, Joseph C. Pepito, Reylan Capuno, Honorio C. Añora, Imelda J. Villarin, Randy Mangubat, Emerson D. Peteros, Anabelle T. Pantaleon, Kaitlin Marie, M. Opingo
This study utilized a descriptive correlational approach to examine relationships between teacher profiles, work engagement, job satisfaction, and retention at Public Schools of Mandaue City, Cebu, Philippines. Data was collected through validated surveys of 253 teachers recruited through complete enumeration, assessing demographics, engagement, satisfaction, and retention motivators. Descriptive and inferential statistics were used to analyze relationships between variables. Results showed the majority of respondents were female aged 32-41 years, over half were married with master’s units, and most had 16+ years of teaching experience. Two-thirds received inclusive education training and were aware of policies. Descriptive analysis found work engagement and job satisfaction levels were very high. Retention levels were also very high thanks to good relationships, security, and community acceptance. Statistically significant relationships were observed between work engagement-retention (r=0.436) and job satisfaction-retention (r=0.611). These findings provide empirical support for engagement and satisfaction predicting teacher retention, especially in demanding inclusive environments. A targeted Teacher Satisfaction and Retention Enhancement (TSRE) plan is proposed to directly address variables significantly impacting engagement, satisfaction, and retention based on comprehensive analysis. The TSRE plan recommends tailored initiatives targeting motivational and evaluative constructs, alongside concrete strategies, timelines and intended outcomes to enhance identified determinants of satisfaction and continued employment. By optimizing teacher profiles, job design, learning opportunities, and working conditions, this research aimed to provide Philippine public schools with empirical insights enabling educators to effectively fulfill emerging inclusive responsibilities with quality and resilience against challenges, contributing to stability as education reforms progress nationwide. DOI: https://doi.org/10.52783/pst.554
{"title":"Inclusive Teachers’ Engagement, Job Satisfaction and Retention in Public Schools of Mandaue City, Cebu","authors":"Analyn P. Arcipe, Alma D. Belocura, Mutya C. Cabrera, Anna Mae, B. Pason, Rona E. Quilaton, Joseph C. Pepito, Reylan Capuno, Honorio C. Añora, Imelda J. Villarin, Randy Mangubat, Emerson D. Peteros, Anabelle T. Pantaleon, Kaitlin Marie, M. Opingo","doi":"10.52783/pst.554","DOIUrl":"https://doi.org/10.52783/pst.554","url":null,"abstract":"This study utilized a descriptive correlational approach to examine relationships between teacher profiles, work engagement, job satisfaction, and retention at Public Schools of Mandaue City, Cebu, Philippines. Data was collected through validated surveys of 253 teachers recruited through complete enumeration, assessing demographics, engagement, satisfaction, and retention motivators. Descriptive and inferential statistics were used to analyze relationships between variables. Results showed the majority of respondents were female aged 32-41 years, over half were married with master’s units, and most had 16+ years of teaching experience. Two-thirds received inclusive education training and were aware of policies. Descriptive analysis found work engagement and job satisfaction levels were very high. Retention levels were also very high thanks to good relationships, security, and community acceptance. Statistically significant relationships were observed between work engagement-retention (r=0.436) and job satisfaction-retention (r=0.611). These findings provide empirical support for engagement and satisfaction predicting teacher retention, especially in demanding inclusive environments. A targeted Teacher Satisfaction and Retention Enhancement (TSRE) plan is proposed to directly address variables significantly impacting engagement, satisfaction, and retention based on comprehensive analysis. The TSRE plan recommends tailored initiatives targeting motivational and evaluative constructs, alongside concrete strategies, timelines and intended outcomes to enhance identified determinants of satisfaction and continued employment. By optimizing teacher profiles, job design, learning opportunities, and working conditions, this research aimed to provide Philippine public schools with empirical insights enabling educators to effectively fulfill emerging inclusive responsibilities with quality and resilience against challenges, contributing to stability as education reforms progress nationwide.\u0000DOI: https://doi.org/10.52783/pst.554","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":"8 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141661462","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}
Mohammad Ali Yasmifar, Sattar Mirzakuchaki, Mohammad Norouzi3
Information security has emerged as a critical concern alongside the development of multimedia technology. Among the myriad security challenges, the secure transmission of sensitive information between parties has become a focal point of researchers. Encryption, involving mathematical techniques to ensure data security, is explored in this study. Specifically, the application of deep LSTM neural networks in concealing textual information within digital images is investigated. The approach involves embedding one image within another in a manner that prevents detection of the hidden image within the cover image, while textual content is covertly embedded within the image. The proposed method demonstrates superior performance based on three evaluation metrics—Peak Signal-to-Noise Ratio (PSNR) in decibels, Mean Squared Error (MSE), and accuracy rate in percentage—compared to three other benchmark images (lena.png, peppers.png, mandril.png, and monkey.png), achieving values of 93.665275 dB, 0.6945 MSE, and 97.23% accuracy, respectively.
{"title":"Examining the Application of Deep LSTM Neural Networks in Steganography of Textual Information in Digital Images","authors":"Mohammad Ali Yasmifar, Sattar Mirzakuchaki, Mohammad Norouzi3","doi":"10.52783/pst.550","DOIUrl":"https://doi.org/10.52783/pst.550","url":null,"abstract":"Information security has emerged as a critical concern alongside the development of multimedia technology. Among the myriad security challenges, the secure transmission of sensitive information between parties has become a focal point of researchers. Encryption, involving mathematical techniques to ensure data security, is explored in this study. Specifically, the application of deep LSTM neural networks in concealing textual information within digital images is investigated. The approach involves embedding one image within another in a manner that prevents detection of the hidden image within the cover image, while textual content is covertly embedded within the image. The proposed method demonstrates superior performance based on three evaluation metrics—Peak Signal-to-Noise Ratio (PSNR) in decibels, Mean Squared Error (MSE), and accuracy rate in percentage—compared to three other benchmark images (lena.png, peppers.png, mandril.png, and monkey.png), achieving values of 93.665275 dB, 0.6945 MSE, and 97.23% accuracy, respectively.","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":"55 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141663237","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}
Concerns about energy and climate change have taken center stage in urban studies in recent years. Buildings are the primary focus of the problem of maximizing energy efficiency in cities, and among the energy Additionally, the most crucial aspects of urban energy efficiency research are consumption, solar radiation energy on the one hand, and thermal energy demand on the other. These factors, together with other climatic factors, primarily influence the standard of life in urban areas. The main aim of research is to establish a model of sustainability in the physical form of the city, the primary objective of the current research is to extract the ideal framework and also the proposed model in the form of a structure for the concept of urban design in urban morphology, which is, on the one hand, the architectural scale of the buildings of the urban fabrics. In terms of structure, the current research is analytical-descriptive, and the method of data collection is in the form of documentation, survey, modeling and simulation using energy analysis software in the field of energy with a micro-analytical approach of urban climate such as Envi-met. For this reason, 4 morpho-types were evaluated in the context of the 4th district of Tehran, and the findings of the research show the difference between the optimal state and the current state of the evaluated parameters, and the amount of difference and the effect of added density in each morphological type of the effective range based on the index It explains that the high-rise building type has the most positive changes in the proposed conditions, and the compact types have lower values respectively. In the future researches, other morphological variables and adaptation modes with climatic parameters can also be investigated in order to achieve energy efficiency in other modes. DOI: https://doi.org/10.52783/pst.545
{"title":"Examining Sustainable Urban Design Pattern by Explaining the Compatibility Model based on Density in Residential Fabrics of District 4th in Tehran City","authors":"Ali Akbarzadeh, Fatemeh Bavali","doi":"10.52783/pst.545","DOIUrl":"https://doi.org/10.52783/pst.545","url":null,"abstract":"Concerns about energy and climate change have taken center stage in urban studies in recent years. Buildings are the primary focus of the problem of maximizing energy efficiency in cities, and among the energy Additionally, the most crucial aspects of urban energy efficiency research are consumption, solar radiation energy on the one hand, and thermal energy demand on the other. These factors, together with other climatic factors, primarily influence the standard of life in urban areas. The main aim of research is to establish a model of sustainability in the physical form of the city, the primary objective of the current research is to extract the ideal framework and also the proposed model in the form of a structure for the concept of urban design in urban morphology, which is, on the one hand, the architectural scale of the buildings of the urban fabrics. In terms of structure, the current research is analytical-descriptive, and the method of data collection is in the form of documentation, survey, modeling and simulation using energy analysis software in the field of energy with a micro-analytical approach of urban climate such as Envi-met. For this reason, 4 morpho-types were evaluated in the context of the 4th district of Tehran, and the findings of the research show the difference between the optimal state and the current state of the evaluated parameters, and the amount of difference and the effect of added density in each morphological type of the effective range based on the index It explains that the high-rise building type has the most positive changes in the proposed conditions, and the compact types have lower values respectively. In the future researches, other morphological variables and adaptation modes with climatic parameters can also be investigated in order to achieve energy efficiency in other modes.\u0000DOI: https://doi.org/10.52783/pst.545","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141668527","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}
In recent decades, in third world countries, especially in the Middle East, the concept of urban micro-climate has undergone many changes in the process of development and construction, leading to environmental crises and the discrete structure of energy consumption in urban blocks. The urban form, the product of morphological changes in recent periods, has had significant effects on the micro-climate of the city. The city of Tabriz in the cold and dry areas of Iran has suffered from the inadequacies of the urban form and adverse effects on the micro-climate of the city as a result of unbalanced development. The main aim of research as parametric study on the interactions between urban morphology and microclimate is to investigate density metric to analysis effect amount in micro-climates. The research is analytical-descriptive and method of collecting data in the form of documents includes literature review, modeling and simulation using Envi-met software and density metric explain modes of a hypothetical in 10 scenarios and are presented in the form of two groups. The construction parts of the hypothetical areas are located in the urban area of Tabriz city, Iran. All scenarios were assumed to be in the same area configuration, where buildings are located in 25 plots of 40 m x 40 m. The result shows Investigation the average ratings obtained from microclimatic simulation of the first group of scenarios shows that by keeping FAR constant and changing BSC, one cannot expect a specific sequence of changes in microclimatic parameters in the space around the buildings but in the case of the second scenario group which is presented with constant BSC and variable FAR, there is a significant sequence in the order of the obtained ranks and the change trend in the average parameters. The results show scenario A2 with FAR 1 and BSC 40% with the lowest average value (3.5) of the total of four parameters of simulating the hottest and coldest day has achieved the best result and is introduced as the best scenario. For future researches, it is possible to propose a more focused investigation on each of the mentioned parameters. DOI: https://doi.org/10.52783/pst.544
{"title":"Investigation of Density factor in Urban Morphology on Micro-Climate Parameters in Cold and Dry Areas (Case Study: Tabriz City, Iran)","authors":"Ali Akbarzadeh, Fatemeh Bavali","doi":"10.52783/pst.544","DOIUrl":"https://doi.org/10.52783/pst.544","url":null,"abstract":"In recent decades, in third world countries, especially in the Middle East, the concept of urban micro-climate has undergone many changes in the process of development and construction, leading to environmental crises and the discrete structure of energy consumption in urban blocks. The urban form, the product of morphological changes in recent periods, has had significant effects on the micro-climate of the city. The city of Tabriz in the cold and dry areas of Iran has suffered from the inadequacies of the urban form and adverse effects on the micro-climate of the city as a result of unbalanced development. The main aim of research as parametric study on the interactions between urban morphology and microclimate is to investigate density metric to analysis effect amount in micro-climates. The research is analytical-descriptive and method of collecting data in the form of documents includes literature review, modeling and simulation using Envi-met software and density metric explain modes of a hypothetical in 10 scenarios and are presented in the form of two groups. The construction parts of the hypothetical areas are located in the urban area of Tabriz city, Iran. All scenarios were assumed to be in the same area configuration, where buildings are located in 25 plots of 40 m x 40 m. The result shows Investigation the average ratings obtained from microclimatic simulation of the first group of scenarios shows that by keeping FAR constant and changing BSC, one cannot expect a specific sequence of changes in microclimatic parameters in the space around the buildings but in the case of the second scenario group which is presented with constant BSC and variable FAR, there is a significant sequence in the order of the obtained ranks and the change trend in the average parameters. The results show scenario A2 with FAR 1 and BSC 40% with the lowest average value (3.5) of the total of four parameters of simulating the hottest and coldest day has achieved the best result and is introduced as the best scenario. For future researches, it is possible to propose a more focused investigation on each of the mentioned parameters.\u0000DOI: https://doi.org/10.52783/pst.544","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":" 1154","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141669047","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}
Lean methodology focuses on enhancing flow and resource efficiency by prioritizing customer value, eliminating waste, reducing variation, and fostering a culture of continuous improvement involving everyone in the organization. Implementing lean creates conditions that empower all employees to contribute to continuous improvement activities within the value stream. This approach not only lowers production costs, enabling reinvestment and employee engagement but also emphasizes professional development. This paper aims to maximize efficiency in seal production within a manufacturing industry by implementing lean tools such as standardized work and Kaizen. Standardized Work is a systematic method for producing parts or services centred on human motion. As a tool for ensuring quality, it defines efficient, safe work methods and helps eliminate waste, serving as the foundation for every operation. Once implemented, standardized work ensures that the same methods are repeated consistently, avoiding unnecessary motions, maintaining quality, ensuring safety, and preventing equipment damage. The consistent application of these methods improves product quality through standardized processes and procedures. By incorporating lean tools like defined worksheets and Kaizen, the production of seals in manufacturing industries can achieve significant productivity enhancements.
{"title":"Optimizing Production Line Efficiency through a Standardized Work Tool: A Case Study","authors":"Dr. V Ramesh, Dr. Savitha","doi":"10.52783/pst.536","DOIUrl":"https://doi.org/10.52783/pst.536","url":null,"abstract":"Lean methodology focuses on enhancing flow and resource efficiency by prioritizing customer value, eliminating waste, reducing variation, and fostering a culture of continuous improvement involving everyone in the organization. Implementing lean creates conditions that empower all employees to contribute to continuous improvement activities within the value stream. This approach not only lowers production costs, enabling reinvestment and employee engagement but also emphasizes professional development. This paper aims to maximize efficiency in seal production within a manufacturing industry by implementing lean tools such as standardized work and Kaizen. Standardized Work is a systematic method for producing parts or services centred on human motion. As a tool for ensuring quality, it defines efficient, safe work methods and helps eliminate waste, serving as the foundation for every operation. Once implemented, standardized work ensures that the same methods are repeated consistently, avoiding unnecessary motions, maintaining quality, ensuring safety, and preventing equipment damage. The consistent application of these methods improves product quality through standardized processes and procedures. By incorporating lean tools like defined worksheets and Kaizen, the production of seals in manufacturing industries can achieve significant productivity enhancements.","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672731","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}
Michelle B. Jugan, T. NiñaRozanne, D. Reyes, Jr Joseph C. Pepito, Reylan Capuno, Lilibeth C. Pinili, Ann Frances, P. Cabigon, Regina E. Sitoy, Irene O. Mamites
This study examined the inclusion teachers' attitudes towards inclusive education in the public schools of Liloan District, Cebu Province Division. A descriptive-correlational design was utilized to collect data from purposively sampled 30 elementary teacher respondents through the M-STATIC structured questionnaire. Most teachers were experienced females aged 34-43 years, married with some graduate studies. They had 1-5 years of teaching experience in inclusion yet only 1-2 inclusive education training sessions. Results found teachers generally supported inclusive philosophies and recognized social benefits but had concerns regarding training, resources, and support. While philosophically positive, worries existed about the support and resources needed in the classrooms. Pearson’s r correlations and one-way ANOVA found no significant relationships between demographic profiles and attitudes. Based on these findings, a Teacher Inclusion Support Plan was recommended and customized for each school to enhance the long-term implementation of high-quality inclusion practices through ongoing, evidence-driven capacity building and professional development. DOI: https://doi.org/10.52783/pst.487
{"title":"Attitudes of Elementary Teachers Towards Inclusive Education of Learners with Special Education Needs in a Public School","authors":"Michelle B. Jugan, T. NiñaRozanne, D. Reyes, Jr Joseph C. Pepito, Reylan Capuno, Lilibeth C. Pinili, Ann Frances, P. Cabigon, Regina E. Sitoy, Irene O. Mamites","doi":"10.52783/pst.487","DOIUrl":"https://doi.org/10.52783/pst.487","url":null,"abstract":"This study examined the inclusion teachers' attitudes towards inclusive education in the public schools of Liloan District, Cebu Province Division. A descriptive-correlational design was utilized to collect data from purposively sampled 30 elementary teacher respondents through the M-STATIC structured questionnaire. Most teachers were experienced females aged 34-43 years, married with some graduate studies. They had 1-5 years of teaching experience in inclusion yet only 1-2 inclusive education training sessions. Results found teachers generally supported inclusive philosophies and recognized social benefits but had concerns regarding training, resources, and support. While philosophically positive, worries existed about the support and resources needed in the classrooms. Pearson’s r correlations and one-way ANOVA found no significant relationships between demographic profiles and attitudes. Based on these findings, a Teacher Inclusion Support Plan was recommended and customized for each school to enhance the long-term implementation of high-quality inclusion practices through ongoing, evidence-driven capacity building and professional development.\u0000DOI: https://doi.org/10.52783/pst.487","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":"138 44","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141351026","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 paper explores the application of artificial intelligence (AI) in mitigating the effects of global warming, which stands as one of the most pressing and complex challenges of our time. The purpose of this research is to examine how various AI technologies, including machine learning, neural networks, and big data analytics, can be leveraged to enhance climate modeling, optimize energy systems, improve agricultural practices, and support carbon capture and storage efforts. By conducting a comprehensive literature review, this paper aims to highlight current advancements, practical applications, and relevant case studies that demonstrate the potential of AI to reduce greenhouse gas emissions and promote sustainable practices across different sectors. The study synthesizes findings from recent academic research, industry reports, and real-world implementations to provide an in-depth analysis of the benefits and challenges associated with integrating AI into climate action strategies. The methodology involves a thorough examination of the existing literature, identifying key areas where AI has shown significant promise in addressing various aspects of global warming. This includes enhancing the accuracy of climate predictions, optimizing the efficiency of renewable energy systems, improving precision agriculture techniques, and increasing the effectiveness of carbon capture and storage technologies. The conclusions drawn from this research underscore the transformative potential of AI in combating global warming. The findings highlight the necessity for interdisciplinary collaboration, advancements in AI technologies, and the development of supportive policy frameworks to maximize the impact of these innovations. The paper emphasizes that while AI offers significant potential to address global warming, realizing this potential requires addressing several challenges, including data quality and availability, integration with existing systems, ethical considerations, and economic and policy barriers. Furthermore, this paper discusses the critical role of AI in enabling more effective climate adaptation strategies. As the impacts of global warming become increasingly apparent, AI-driven tools and solutions can help communities and ecosystems adapt to changing environmental conditions. This includes providing early warning systems for natural disasters, optimizing resource allocation during climate-related crises, and supporting the development of resilient infrastructure. In addition to technological advancements, the paper also explores the importance of public engagement and citizen science in enhancing the effectiveness of AI applications in environmental monitoring and climate action. By involving citizens in data collection and environmental monitoring, AI models can access more diverse and localized data, improving their accuracy and relevance. Public engagement can also raise awareness about AI's role in addressing climate change and foster g
{"title":"Using Ai to Help Reduce the Effect of Global Warming","authors":"1-Dr. Ayman Naji Khallaf, 2-Dr. Nader Moneer Alqerafi","doi":"10.52783/pst.464","DOIUrl":"https://doi.org/10.52783/pst.464","url":null,"abstract":"This paper explores the application of artificial intelligence (AI) in mitigating the effects of global warming, which stands as one of the most pressing and complex challenges of our time. The purpose of this research is to examine how various AI technologies, including machine learning, neural networks, and big data analytics, can be leveraged to enhance climate modeling, optimize energy systems, improve agricultural practices, and support carbon capture and storage efforts. By conducting a comprehensive literature review, this paper aims to highlight current advancements, practical applications, and relevant case studies that demonstrate the potential of AI to reduce greenhouse gas emissions and promote sustainable practices across different sectors.\u0000The study synthesizes findings from recent academic research, industry reports, and real-world implementations to provide an in-depth analysis of the benefits and challenges associated with integrating AI into climate action strategies. The methodology involves a thorough examination of the existing literature, identifying key areas where AI has shown significant promise in addressing various aspects of global warming. This includes enhancing the accuracy of climate predictions, optimizing the efficiency of renewable energy systems, improving precision agriculture techniques, and increasing the effectiveness of carbon capture and storage technologies.\u0000The conclusions drawn from this research underscore the transformative potential of AI in combating global warming. The findings highlight the necessity for interdisciplinary collaboration, advancements in AI technologies, and the development of supportive policy frameworks to maximize the impact of these innovations. The paper emphasizes that while AI offers significant potential to address global warming, realizing this potential requires addressing several challenges, including data quality and availability, integration with existing systems, ethical considerations, and economic and policy barriers.\u0000Furthermore, this paper discusses the critical role of AI in enabling more effective climate adaptation strategies. As the impacts of global warming become increasingly apparent, AI-driven tools and solutions can help communities and ecosystems adapt to changing environmental conditions. This includes providing early warning systems for natural disasters, optimizing resource allocation during climate-related crises, and supporting the development of resilient infrastructure.\u0000In addition to technological advancements, the paper also explores the importance of public engagement and citizen science in enhancing the effectiveness of AI applications in environmental monitoring and climate action. By involving citizens in data collection and environmental monitoring, AI models can access more diverse and localized data, improving their accuracy and relevance. Public engagement can also raise awareness about AI's role in addressing climate change and foster g","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141370748","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}
In recent times road infrastructures mean bridges and when the matter comes to repair and maintenance for any roads the main attraction is always bridges and pavements. The culverts are always neglected or least valued in terms of repair and maintenance. Culverts are mostly used for cross drainage on highways and railways. As the culverts are not considered a primary priority for maintenance the degradation of culverts causes major concern for road infrastructure safety. As the culverts are an essential part of road infrastructures it becomes important to survey each culvert regularly. Thus, this research focuses on accessing culverts of selected roads of Madhya Pradesh (India) and creating or providing a proper inventory and condition rating system or formats to note down and access the condition of each culvert. This assessment or system will help in maintenance planning and enhance the culverts’ life span. This assessment system will help in an efficient culvert management plan. DOI: https://doi.org/10.52783/pst.460
{"title":"Assessments of Inventory and Condition for Culverts","authors":"S. Shivam","doi":"10.52783/pst.460","DOIUrl":"https://doi.org/10.52783/pst.460","url":null,"abstract":"In recent times road infrastructures mean bridges and when the matter comes to repair and maintenance for any roads the main attraction is always bridges and pavements. The culverts are always neglected or least valued in terms of repair and maintenance. Culverts are mostly used for cross drainage on highways and railways. As the culverts are not considered a primary priority for maintenance the degradation of culverts causes major concern for road infrastructure safety. As the culverts are an essential part of road infrastructures it becomes important to survey each culvert regularly. Thus, this research focuses on accessing culverts of selected roads of Madhya Pradesh (India) and creating or providing a proper inventory and condition rating system or formats to note down and access the condition of each culvert. This assessment or system will help in maintenance planning and enhance the culverts’ life span. This assessment system will help in an efficient culvert management plan.\u0000DOI: https://doi.org/10.52783/pst.460","PeriodicalId":20420,"journal":{"name":"Power system technology","volume":"65 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377213","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：