Pub Date : 2024-07-06DOI: 10.24271/psr.2024.443072.1495
Farhan Ahmad Abdulrahman, T. Karim
{"title":"Comparative Evaluation of Derived and Previously Published Models for Estimating Annual Runoff in the Mountainous Watersheds of Sulaimani Province","authors":"Farhan Ahmad Abdulrahman, T. Karim","doi":"10.24271/psr.2024.443072.1495","DOIUrl":"https://doi.org/10.24271/psr.2024.443072.1495","url":null,"abstract":"","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672824","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 : 2024-06-02DOI: 10.24271/psr.2024.435650.1472
Nasih Habeeb Askander
This study's objective is to overcome limitations in current design recommendations by exploring the application of machine learning to predict the flexural behavior of fiber-reinforced polymer (FRP)-strengthened reinforced concrete beams. Although FRP composites have completely changed structural strengthening, it might be challenging to predict bending moments with precision. This work fills the theoretical and experimental findings gaps by utilizing Artificial Neural Network (ANN) models in conjunction with computational techniques and statistical analysis. It includes gathering data, conducting a thorough literature review, and developing three models: Artificial neural network (ANN), Non-linear Regression (NLR), and Linear Regression (LR). Despite other models, the ANN model stands out for its superior performance and accurate predictions. Understanding material characteristics, FRP properties, and beam dimensions is critical in predicting flexural strength. The most significant parameter studied in this research is the overall depth of the beam (h), followed by the variation in bottom flexural reinforcement ( ρ s ). Additionally, the FRP ratio ( ρ f ) and beam width ( b ), which are both regarded as significant attributes, influence the flexural capacity of FRP-strengthened beams. The ultimate moment (M u ) may be predicted by the ANN model with an error range of -20% to +15%, indicating a significant advancement in strengthening approach optimization. This development could reduce the requirement for expensive experimental testing during construction, thereby enhancing the predictive capacity of structural engineering procedures. Furthermore, the design of flexurally strengthened RC beams with FRP may be made possible by depending on this model, specifically the ANN, without the need for experimental effort.
{"title":"Machine Learning Models for Predicting Flexural Behavior of FRP-Strengthened RC Beams","authors":"Nasih Habeeb Askander","doi":"10.24271/psr.2024.435650.1472","DOIUrl":"https://doi.org/10.24271/psr.2024.435650.1472","url":null,"abstract":"This study's objective is to overcome limitations in current design recommendations by exploring the application of machine learning to predict the flexural behavior of fiber-reinforced polymer (FRP)-strengthened reinforced concrete beams. Although FRP composites have completely changed structural strengthening, it might be challenging to predict bending moments with precision. This work fills the theoretical and experimental findings gaps by utilizing Artificial Neural Network (ANN) models in conjunction with computational techniques and statistical analysis. It includes gathering data, conducting a thorough literature review, and developing three models: Artificial neural network (ANN), Non-linear Regression (NLR), and Linear Regression (LR). Despite other models, the ANN model stands out for its superior performance and accurate predictions. Understanding material characteristics, FRP properties, and beam dimensions is critical in predicting flexural strength. The most significant parameter studied in this research is the overall depth of the beam (h), followed by the variation in bottom flexural reinforcement ( ρ s ). Additionally, the FRP ratio ( ρ f ) and beam width ( b ), which are both regarded as significant attributes, influence the flexural capacity of FRP-strengthened beams. The ultimate moment (M u ) may be predicted by the ANN model with an error range of -20% to +15%, indicating a significant advancement in strengthening approach optimization. This development could reduce the requirement for expensive experimental testing during construction, thereby enhancing the predictive capacity of structural engineering procedures. Furthermore, the design of flexurally strengthened RC beams with FRP may be made possible by depending on this model, specifically the ANN, without the need for experimental effort.","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"89 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141389555","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 : 2024-06-01DOI: 10.24271/psr.2024.420817.1408
Vance Franso Esho, H. E. Othman
Burkholderia cepacia complex (Bcc) is a group of at least 25 phenotypically similar but genetically distinct and closely related bacterial species, causing severe pulmonary inflammation with high mortality rates among hospitalized patients. There was a gap in knowledge regarding the prevalence and accurate species status of Bcc strains in the Kurdistan region of Iraq. Therefore, the current study aimed to direct molecular identification and characterization of Bcc species in respiratory tract infections of hospitalized patients in Duhok province based on PCR amplification and sequencing of the Bcc recA gene. The investigation also targeted the detection of the epidemic marker BCESM ( esmR gene) and the transmissibility marker cblA gene. Results revealed that seven Bcc isolates were identified out of 309 sputum and oropharyngeal swabs. The overall prevalence rate of Bcc was 2.26%, with a higher percentage of isolation in sputum specimens (8.51%, 4/47) compared with oropharyngeal samples (1.14%, 3/262). The results of direct antibiotic susceptibility testing revealed that Imipenem was the most effective antibiotic against Bcc isolates (100% sensitive); contrastingly, Cefixime showed no effect on the isolates. Based on the recA gene sequencing, six Bcc species have been identified, including B. cepacia , B. multivorans , B. cenocepacia , B. anthina , B. contaminans , and B. lata , whose sequence identities ranged from 99.71–100%. Each of B. anthina (OR662134), B. lata (OR662135), B. cenocepacia (OR662137), and B. contaminans (OR662140) were recorded as the first identified and reported Bcc species in Iraq. The transmissibility marker was found in three isolates of the identified Bcc complex species (42.85%, 3/7). Also, B. cepacia was found to be a transmissible epidemic strain ( cblA +/ esmR +). Identifying transmissible and epidemic strains of the Bcc complex in this region puts hospitalized patients at high risk of cross-infection, which may require active surveillance and further investigation.
{"title":"Molecular identification, Prevalence, and Phylogeny of Burkholderia cepacia Complex (BCC) Species in the Respiratory Tract of Hospitalized Patients","authors":"Vance Franso Esho, H. E. Othman","doi":"10.24271/psr.2024.420817.1408","DOIUrl":"https://doi.org/10.24271/psr.2024.420817.1408","url":null,"abstract":"Burkholderia cepacia complex (Bcc) is a group of at least 25 phenotypically similar but genetically distinct and closely related bacterial species, causing severe pulmonary inflammation with high mortality rates among hospitalized patients. There was a gap in knowledge regarding the prevalence and accurate species status of Bcc strains in the Kurdistan region of Iraq. Therefore, the current study aimed to direct molecular identification and characterization of Bcc species in respiratory tract infections of hospitalized patients in Duhok province based on PCR amplification and sequencing of the Bcc recA gene. The investigation also targeted the detection of the epidemic marker BCESM ( esmR gene) and the transmissibility marker cblA gene. Results revealed that seven Bcc isolates were identified out of 309 sputum and oropharyngeal swabs. The overall prevalence rate of Bcc was 2.26%, with a higher percentage of isolation in sputum specimens (8.51%, 4/47) compared with oropharyngeal samples (1.14%, 3/262). The results of direct antibiotic susceptibility testing revealed that Imipenem was the most effective antibiotic against Bcc isolates (100% sensitive); contrastingly, Cefixime showed no effect on the isolates. Based on the recA gene sequencing, six Bcc species have been identified, including B. cepacia , B. multivorans , B. cenocepacia , B. anthina , B. contaminans , and B. lata , whose sequence identities ranged from 99.71–100%. Each of B. anthina (OR662134), B. lata (OR662135), B. cenocepacia (OR662137), and B. contaminans (OR662140) were recorded as the first identified and reported Bcc species in Iraq. The transmissibility marker was found in three isolates of the identified Bcc complex species (42.85%, 3/7). Also, B. cepacia was found to be a transmissible epidemic strain ( cblA +/ esmR +). Identifying transmissible and epidemic strains of the Bcc complex in this region puts hospitalized patients at high risk of cross-infection, which may require active surveillance and further investigation.","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"9 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141228755","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 : 2024-06-01DOI: 10.24271/psr.2024.421994.1412
M. A. Abdulsattar
H 2 gas reaction with pristine and Au-doped SnO 2 clusters is calculated and compared with the experiment. A new generalized version of the Evans–Polanyi principle is employed. As a function of temperature, the transition state is used to calculate the activation of Gibbs free energy, including its components enthalpy and entropy. H 2 autoignition at elevated temperatures is considered using logistic functions. Reaction rate, response, response time, and recovery time are calculated and compared with the experiment. Results show a strong temperature dependence of H 2 reactions, while O 2 recovery reactions depend on temperature through the change of activation energy only. Promising results that need more comparisons between experiment and theory are obtained to validate the new formalism
计算了 H 2 气体与原始和掺金 SnO 2 团簇的反应，并与实验进行了比较。计算采用了新的通用版埃文斯-波兰尼原理。作为温度的函数，过渡态被用来计算活化吉布斯自由能，包括焓和熵。利用对数函数考虑了 H 2 在高温下的自燃。计算了反应速率、反应、反应时间和恢复时间，并与实验进行了比较。结果表明，H 2 反应与温度密切相关，而 O 2 恢复反应仅通过活化能的变化与温度有关。实验和理论之间需要更多的比较，以验证新的形式主义。
{"title":"Effect of temperature on the reaction of pristine and Au-doped SnO2 pyramid clusters with H2: A transition state theory study","authors":"M. A. Abdulsattar","doi":"10.24271/psr.2024.421994.1412","DOIUrl":"https://doi.org/10.24271/psr.2024.421994.1412","url":null,"abstract":"H 2 gas reaction with pristine and Au-doped SnO 2 clusters is calculated and compared with the experiment. A new generalized version of the Evans–Polanyi principle is employed. As a function of temperature, the transition state is used to calculate the activation of Gibbs free energy, including its components enthalpy and entropy. H 2 autoignition at elevated temperatures is considered using logistic functions. Reaction rate, response, response time, and recovery time are calculated and compared with the experiment. Results show a strong temperature dependence of H 2 reactions, while O 2 recovery reactions depend on temperature through the change of activation energy only. Promising results that need more comparisons between experiment and theory are obtained to validate the new formalism","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"37 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141233086","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 : 2024-06-01DOI: 10.24271/psr.2024.425624.1422
Karwan Kakamad, Khaleel Mawlod, Mohammed Mohammed
This research delves into the effect of the Big-Five -personality-traits-Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness on acquiring second/foreign languages among individuals from the Iraqi Kurdistan region, spanning linguistics, cognitive science, psychology, and sociology. The interdisciplinary study explores how personality traits intertwine with language learning. Analyzing 495 EFL learners in Kurdistan universities, the research deploys statistical methods to uncover correlations between personality traits and language-learning strategies. The results unveil nuanced associations; for instance, Conscientiousness and Neuroticism influence memory strategies, while Conscientiousness and Agreeableness relate to cognitive strategies. Compensation strategies connect with Conscientiousness and Openness, and metacognition strategies demonstrate ties to Extroversion and Openness. Affective strategies align with Conscientiousness and Neuroticism, and social strategies are linked to Extroversion and Openness. These results emphasize the intricate dynamics of how personality traits influence language learning strategies, emphasizing the need for further investigation into the underlying mechanisms governing this interplay.
{"title":"Personality Traits and Language Learning Strategies among EFL Students","authors":"Karwan Kakamad, Khaleel Mawlod, Mohammed Mohammed","doi":"10.24271/psr.2024.425624.1422","DOIUrl":"https://doi.org/10.24271/psr.2024.425624.1422","url":null,"abstract":"This research delves into the effect of the Big-Five -personality-traits-Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness on acquiring second/foreign languages among individuals from the Iraqi Kurdistan region, spanning linguistics, cognitive science, psychology, and sociology. The interdisciplinary study explores how personality traits intertwine with language learning. Analyzing 495 EFL learners in Kurdistan universities, the research deploys statistical methods to uncover correlations between personality traits and language-learning strategies. The results unveil nuanced associations; for instance, Conscientiousness and Neuroticism influence memory strategies, while Conscientiousness and Agreeableness relate to cognitive strategies. Compensation strategies connect with Conscientiousness and Openness, and metacognition strategies demonstrate ties to Extroversion and Openness. Affective strategies align with Conscientiousness and Neuroticism, and social strategies are linked to Extroversion and Openness. These results emphasize the intricate dynamics of how personality traits influence language learning strategies, emphasizing the need for further investigation into the underlying mechanisms governing this interplay.","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"110 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234329","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 main goal of the work is to investigate to the influence the magnetohydrodynamic slip flow through a nonlinear porous stretching surface's upper Maxwell Casson convected nanofluid boundary layer flow was considered. The governing partial differential equations are transformed into nonlinear ordinary differential equations using the proper similarity transformations. The Shooting method was utilized to achieve the numerical solution of the updated equations utilizing the Runge-Kutta-Fehlberg approach. A wide range of essential fluid characteristics were thoroughly examined, including the Schmidt number, magnetic parameter, temperature slip parameter, concentration slip parameter, velocity, and nonlinear stretching parameter. Using graphs and tables, the impacts on temperature, concentration, and velocity were examined and reported. The investigation included calculating and thoroughly debating the skin friction coefficient, local Sherwood numbers, and local Nusselt numbers.
{"title":"THERMAL RADIATION EFFECTS ON MHD CASSON AND MAXWELL NANOFLUIDS OVER A POROUS STRETCHING SURFACE","authors":"Tagallamudi Srinivasa Rao, Matam Mohan Babu, Ramesh Reddy Bojja, Naga Santoshi P., Venkata Ramana Reddy Gurrampati","doi":"10.24271/psr.2024.416203.1389","DOIUrl":"https://doi.org/10.24271/psr.2024.416203.1389","url":null,"abstract":"The main goal of the work is to investigate to the influence the magnetohydrodynamic slip flow through a nonlinear porous stretching surface's upper Maxwell Casson convected nanofluid boundary layer flow was considered. The governing partial differential equations are transformed into nonlinear ordinary differential equations using the proper similarity transformations. The Shooting method was utilized to achieve the numerical solution of the updated equations utilizing the Runge-Kutta-Fehlberg approach. A wide range of essential fluid characteristics were thoroughly examined, including the Schmidt number, magnetic parameter, temperature slip parameter, concentration slip parameter, velocity, and nonlinear stretching parameter. Using graphs and tables, the impacts on temperature, concentration, and velocity were examined and reported. The investigation included calculating and thoroughly debating the skin friction coefficient, local Sherwood numbers, and local Nusselt numbers.","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"59 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140422833","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 : 2024-02-27DOI: 10.24271/psr.2023.419952.1406
Arman Salam Ababakr, R. Rasheed, Sherko Ali Muhammed
This study investigated polycyclic aromatic hydrocarbon (PAH) contamination in Sulaimani City, Iraq. A longitudinal study was conducted from May 2022 to February 2023 to analyze PAH concentrations in water samples collected across three seasons using a GC-MC6890 Agilent gas chromatograph. Samples were collected from Dukan Lake, the City's primary water source, to the last distribution stations within the city. The study focused on four prevalent PAHs: naphthalene, acenaphthylene, acenaphthene, and pyrene. Their concentrations were meticulously compared against established drinking water standards to assess potential health risks. Additionally, the influence of seasons on PAH levels and the impact of PAH concentration on the water's pH were investigated. The results revealed noteworthy seasonal variations in PAH concentrations, with higher levels observed during summer. Naphthalene concentrations were 20% higher in the summer compared to autumn/winter. Acenaphthylene and acenaphthene exhibited statistically significant differences in mean concentrations across the seasons (p-value < 0.0001), with naphthalene also showing significant differences between summer and autumn/winter. All PAH parameters exceeded standard limits in drinking water, posing potential risks to human health and aquatic organisms. Pyrene and other variables did not significantly affect pH (p-value = 0.9360). These findings emphasize the need for continuous monitoring and treatment strategies to mitigate PAH contamination and ensure the safety of the City's drinking water supply. This study provides valuable baseline data for future efforts and management of drinking water resources in Sulaimani City.
{"title":"Evaluation of Polycyclic Aromatic Hydrocarbon in water from Dukan lake to main distributer stations in Sulaimani City, Iraq","authors":"Arman Salam Ababakr, R. Rasheed, Sherko Ali Muhammed","doi":"10.24271/psr.2023.419952.1406","DOIUrl":"https://doi.org/10.24271/psr.2023.419952.1406","url":null,"abstract":"This study investigated polycyclic aromatic hydrocarbon (PAH) contamination in Sulaimani City, Iraq. A longitudinal study was conducted from May 2022 to February 2023 to analyze PAH concentrations in water samples collected across three seasons using a GC-MC6890 Agilent gas chromatograph. Samples were collected from Dukan Lake, the City's primary water source, to the last distribution stations within the city. The study focused on four prevalent PAHs: naphthalene, acenaphthylene, acenaphthene, and pyrene. Their concentrations were meticulously compared against established drinking water standards to assess potential health risks. Additionally, the influence of seasons on PAH levels and the impact of PAH concentration on the water's pH were investigated. The results revealed noteworthy seasonal variations in PAH concentrations, with higher levels observed during summer. Naphthalene concentrations were 20% higher in the summer compared to autumn/winter. Acenaphthylene and acenaphthene exhibited statistically significant differences in mean concentrations across the seasons (p-value < 0.0001), with naphthalene also showing significant differences between summer and autumn/winter. All PAH parameters exceeded standard limits in drinking water, posing potential risks to human health and aquatic organisms. Pyrene and other variables did not significantly affect pH (p-value = 0.9360). These findings emphasize the need for continuous monitoring and treatment strategies to mitigate PAH contamination and ensure the safety of the City's drinking water supply. This study provides valuable baseline data for future efforts and management of drinking water resources in Sulaimani City.","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"37 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140425519","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 : 2024-02-25DOI: 10.24271/psr.2024.429055.1433
S. Abdulkarim, N. Saeed
This work proposes an improved numerical methodology based on the flexibility method to study the geometric nonlinearity of space cable structures. The proposed approach makes use of the Pade approximation to enhance the performance of computation. The transformation to the Pade arrangement is particularly successful in quickly speeding up convergence and obtaining the solution when working with complex structures that demonstrate geometrically nonlinear properties. In contrast to previous approaches, the suggested method directly solves the problem by formulating an algebraic system of nonlinear equations using the Pade approximation. To arrive at an analytical solution, some of the most well-established methods that make use of iterative techniques include dynamic relaxation, finite element analysis, and minimum total potential energy. A comprehensive evaluation of the proposed technique's precision and reliability was conducted using six different numerical examples. The recommended method's accuracy, consistency, and computational efficiency are shown by carefully comparing the results with those of techniques that have been around for a long time. This work contributes to the advancement of numerical approaches for the analysis of complex structural behavior by providing a reliable and efficient alternative. Moreover, this work is beneficial for both academics and professionals working in the field.
{"title":"Nonlinear structural analysis technique based on flexibility method by Pade approximants","authors":"S. Abdulkarim, N. Saeed","doi":"10.24271/psr.2024.429055.1433","DOIUrl":"https://doi.org/10.24271/psr.2024.429055.1433","url":null,"abstract":"This work proposes an improved numerical methodology based on the flexibility method to study the geometric nonlinearity of space cable structures. The proposed approach makes use of the Pade approximation to enhance the performance of computation. The transformation to the Pade arrangement is particularly successful in quickly speeding up convergence and obtaining the solution when working with complex structures that demonstrate geometrically nonlinear properties. In contrast to previous approaches, the suggested method directly solves the problem by formulating an algebraic system of nonlinear equations using the Pade approximation. To arrive at an analytical solution, some of the most well-established methods that make use of iterative techniques include dynamic relaxation, finite element analysis, and minimum total potential energy. A comprehensive evaluation of the proposed technique's precision and reliability was conducted using six different numerical examples. The recommended method's accuracy, consistency, and computational efficiency are shown by carefully comparing the results with those of techniques that have been around for a long time. This work contributes to the advancement of numerical approaches for the analysis of complex structural behavior by providing a reliable and efficient alternative. Moreover, this work is beneficial for both academics and professionals working in the field.","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"7 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140432378","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 : 2024-02-22DOI: 10.24271/psr.2024.429915.1447
Arfan solai
This study provides a complete cost analysis of two different wind turbine deployment strategies: centralized aggregation in a single location and decentralized dispersion across three locations. The main goal is to analyze the internal rate of return (IRR), a fundamental financial indicator for determining the economic sustainability of each deployment strategy. This research also identifies the most financially advantageous investment opportunity among various competing strategies. The analysis includes a comprehensive computation of annual cash flow forecasts. Furthermore, the analysis involves a detailed calculation of annual cash flow projections, providing a robust foundation for a thorough examination of the financial implications associated with each deployment method. Beyond a mere numerical comparison, this study goes deeper to illuminate the disparities in costs, revenues, and overall economic feasibility that emerge between the centralized and decentralized deployment scenarios. The analysis results underscore the imperative of thoughtful deployment strategies in enhancing the overall profitability of renewable energy projects, recognizing that financial considerations must be carefully weighed alongside technical and environmental factors for a holistic decision-making process in the renewable energy sector.
{"title":"Optimizing Wind Turbine Deployment: A Cost Analysis of Centralized Aggregation versus Decentralized Dispersion for Enhanced Financial Viability","authors":"Arfan solai","doi":"10.24271/psr.2024.429915.1447","DOIUrl":"https://doi.org/10.24271/psr.2024.429915.1447","url":null,"abstract":"This study provides a complete cost analysis of two different wind turbine deployment strategies: centralized aggregation in a single location and decentralized dispersion across three locations. The main goal is to analyze the internal rate of return (IRR), a fundamental financial indicator for determining the economic sustainability of each deployment strategy. This research also identifies the most financially advantageous investment opportunity among various competing strategies. The analysis includes a comprehensive computation of annual cash flow forecasts. Furthermore, the analysis involves a detailed calculation of annual cash flow projections, providing a robust foundation for a thorough examination of the financial implications associated with each deployment method. Beyond a mere numerical comparison, this study goes deeper to illuminate the disparities in costs, revenues, and overall economic feasibility that emerge between the centralized and decentralized deployment scenarios. The analysis results underscore the imperative of thoughtful deployment strategies in enhancing the overall profitability of renewable energy projects, recognizing that financial considerations must be carefully weighed alongside technical and environmental factors for a holistic decision-making process in the renewable energy sector.","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"91 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140439787","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 : 2024-02-17DOI: 10.24271/psr.2023.391018.1296
Hardi Sabah Talabani, H. Abdulhadi, Muhammed Ali
{"title":"Obfuscated Malware Memory Detection Employing Lazy Instance Based Learner Algorithm Based On Manhattan Distance Function","authors":"Hardi Sabah Talabani, H. Abdulhadi, Muhammed Ali","doi":"10.24271/psr.2023.391018.1296","DOIUrl":"https://doi.org/10.24271/psr.2023.391018.1296","url":null,"abstract":"","PeriodicalId":508608,"journal":{"name":"Passer Journal of Basic and Applied Sciences","volume":"72 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139960063","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}
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