Microwave dielectric double perovskite /polymer composites are materials that combine the flexibility of polymer matrices like epoxy, polyurethane, or silicone rubber with unique properties of double perovskite ceramics, such as Ba2ZnWO6, Ba2MgWO6, and Bi2Mo0.5W0.5O6,. These complex oxide ceramics are synthesized using the solid-state reaction technique. The X-ray diffraction analysis (XRD) confirmed the formation of the double perovskite phase with well-defined crystal structures. Utilizing transmission/reflection measurements by a vector network analyzer (VNA) and double perovskite ceramics as filler materials in the polymer matrix, the impact of the complex oxide fillers on the composites' overall dielectric properties was fully measured. In particular, the dielectric properties of the resulting composites, specifically their dielectric loss and dielectric constant, were investigated within the wide frequency range of 4-8 GHz. Better dielectric characteristics, such as a high dielectric constant and a low loss factor, were demonstrated by Ba2ZnWO6, which made it a viable option for use in high-frequency circuits, microwave devices, energy storage components and communication technology. Furthermore, Competitive dielectric qualities were demonstrated by Ba2MgWO6 and Bi2Mo0.5W0.5O6. In addition, the results indicated improved dielectric characteristics, including dielectric constant and loss factor. The resulting composites not only have a lower cost and light weight than ceramics, but they also have a lot of potential uses in the microwave dielectric range. Furthermore, when compared to the other measured composites the Ba2ZnWO6/polymer composites demonstrated superior properties.
{"title":"Dielectric Properties of Three Perovskite Oxides Included in Three Types of Polymer Composites","authors":"L. Faeq, S. Farid, F. A. Hashim","doi":"10.56294/sctconf2024866","DOIUrl":"https://doi.org/10.56294/sctconf2024866","url":null,"abstract":"Microwave dielectric double perovskite /polymer composites are materials that combine the flexibility of polymer matrices like epoxy, polyurethane, or silicone rubber with unique properties of double perovskite ceramics, such as Ba2ZnWO6, Ba2MgWO6, and Bi2Mo0.5W0.5O6,. These complex oxide ceramics are synthesized using the solid-state reaction technique. The X-ray diffraction analysis (XRD) confirmed the formation of the double perovskite phase with well-defined crystal structures. Utilizing transmission/reflection measurements by a vector network analyzer (VNA) and double perovskite ceramics as filler materials in the polymer matrix, the impact of the complex oxide fillers on the composites' overall dielectric properties was fully measured. In particular, the dielectric properties of the resulting composites, specifically their dielectric loss and dielectric constant, were investigated within the wide frequency range of 4-8 GHz. Better dielectric characteristics, such as a high dielectric constant and a low loss factor, were demonstrated by Ba2ZnWO6, which made it a viable option for use in high-frequency circuits, microwave devices, energy storage components and communication technology. Furthermore, Competitive dielectric qualities were demonstrated by Ba2MgWO6 and Bi2Mo0.5W0.5O6. In addition, the results indicated improved dielectric characteristics, including dielectric constant and loss factor. The resulting composites not only have a lower cost and light weight than ceramics, but they also have a lot of potential uses in the microwave dielectric range. Furthermore, when compared to the other measured composites the Ba2ZnWO6/polymer composites demonstrated superior properties.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"26 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357243","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}
Weam A Al-khaleeli, M. M. H. AL-Khafaji, Mazin Al-wswasi
Computer Numerical Control (CNC) machines are widely used in different processes, such as milling, turning, drilling, etc., due to their high accuracy, rapidity, and repeatability. While these machines are fully controlled using G-code, the manual setup between the cutting tools and the initial stock can be time-consuming and requires skilled and experienced operators. This study utilizes artificial intelligence, supported by Deep Learning and image processing techniques, to automatically set up the machine by computing the distance between the tool and the workpiece. Firstly, a You Only Look Once (YOLO V4) algorithm has been developed via MATLAB programming specifically for the recognition of tools and workpieces. This algorithm has been trained using 1700 images, which are captured by a Rapoo C260 Webam, in the machine configuration environment for both the tools and workpieces. After recognizing the tool and workpiece, the algorithm provides information in terms of coordinates to specify where these objects are located within the image by drawing bounding boxes around them. Because the edges of the bounding boxes do not accurately depict the actual edges of the tool or the workpiece, the implementation of image processing techniques is necessary to correct these differences and determine the precise distance between the tool and the workpiece. Finally, an automatic G-code correction is generated to adjust the existing G-code, resulting in an automatic machining setup. The proposed methodology has been implemented and evaluated on a CNC turning machine, and it showed promising results in terms of reducing the required machining setup time.
计算机数控（CNC）机床因其高精度、快速性和可重复性，被广泛应用于铣削、车削、钻孔等不同工艺中。虽然这些机器完全由 G 代码控制，但切削工具和初始毛坯之间的手动设置可能非常耗时，而且需要熟练且经验丰富的操作员。本研究利用人工智能，在深度学习和图像处理技术的支持下，通过计算刀具和工件之间的距离来自动设置机器。首先，通过 MATLAB 编程开发了 "只看一次"（YOLO V4）算法，专门用于识别刀具和工件。该算法使用 Rapoo C260 Webam 在机床配置环境中为刀具和工件采集的 1700 幅图像进行训练。在识别出工具和工件后，该算法会提供坐标信息，通过在其周围绘制边界框来指定这些对象在图像中的位置。由于边界框的边缘并不能准确描述工具或工件的实际边缘，因此有必要采用图像处理技术来纠正这些差异，并确定工具和工件之间的精确距离。最后，生成自动 G 代码修正，以调整现有的 G 代码，从而实现自动加工设置。所提出的方法已在一台数控车床上实施并进行了评估，在减少所需的加工设置时间方面取得了可喜的成果。
{"title":"Automatic Machining Setup via Deep Learning and Image Processing","authors":"Weam A Al-khaleeli, M. M. H. AL-Khafaji, Mazin Al-wswasi","doi":"10.56294/sctconf2024859","DOIUrl":"https://doi.org/10.56294/sctconf2024859","url":null,"abstract":"Computer Numerical Control (CNC) machines are widely used in different processes, such as milling, turning, drilling, etc., due to their high accuracy, rapidity, and repeatability. While these machines are fully controlled using G-code, the manual setup between the cutting tools and the initial stock can be time-consuming and requires skilled and experienced operators. This study utilizes artificial intelligence, supported by Deep Learning and image processing techniques, to automatically set up the machine by computing the distance between the tool and the workpiece. Firstly, a You Only Look Once (YOLO V4) algorithm has been developed via MATLAB programming specifically for the recognition of tools and workpieces. This algorithm has been trained using 1700 images, which are captured by a Rapoo C260 Webam, in the machine configuration environment for both the tools and workpieces. After recognizing the tool and workpiece, the algorithm provides information in terms of coordinates to specify where these objects are located within the image by drawing bounding boxes around them. Because the edges of the bounding boxes do not accurately depict the actual edges of the tool or the workpiece, the implementation of image processing techniques is necessary to correct these differences and determine the precise distance between the tool and the workpiece. Finally, an automatic G-code correction is generated to adjust the existing G-code, resulting in an automatic machining setup. The proposed methodology has been implemented and evaluated on a CNC turning machine, and it showed promising results in terms of reducing the required machining setup time.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"83 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357857","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}
K. Sobha, P. Nandhini, Dr. William Castillo-González
This study's goal was to ascertain how yoga practices affected the balance and collaboration of ethical pupils in their pubertal times. Thirty womanish scholars from Kalpetta, Wayanad, Kerala, India's Government Advanced Secondary academy were chosen as subjects to negotiate the study's pretensions. They were between the periods of 12 and 17. Two equal groups of fifteen actors each were aimlessly allocated to the named subjects. Group II served as the control while Group I rehearsed yoga. For twelve weeks, the exercise plan be conducted every six days of the week. The actors' balance along with collaboration were assessed both ahead and after the training session. The power simple collaboration test was used to measure collaboration, while the balance ray test was used to estimate balance. The independent" T" test was the statistical system employed in this disquisition. After rehearsing yoga for twelve weeks, the study's findings show that the pubertal ethnical scholars' balance and collaboration significantly bettered.
{"title":"Influence of yoga practices on balance and co-ordination among pubertal tribal students","authors":"K. Sobha, P. Nandhini, Dr. William Castillo-González","doi":"10.56294/sctconf2024877","DOIUrl":"https://doi.org/10.56294/sctconf2024877","url":null,"abstract":"This study's goal was to ascertain how yoga practices affected the balance and collaboration of ethical pupils in their pubertal times. Thirty womanish scholars from Kalpetta, Wayanad, Kerala, India's Government Advanced Secondary academy were chosen as subjects to negotiate the study's pretensions. They were between the periods of 12 and 17. Two equal groups of fifteen actors each were aimlessly allocated to the named subjects. Group II served as the control while Group I rehearsed yoga. For twelve weeks, the exercise plan be conducted every six days of the week. The actors' balance along with collaboration were assessed both ahead and after the training session. The power simple collaboration test was used to measure collaboration, while the balance ray test was used to estimate balance. The independent\" T\" test was the statistical system employed in this disquisition. After rehearsing yoga for twelve weeks, the study's findings show that the pubertal ethnical scholars' balance and collaboration significantly bettered.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"30 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357519","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}
Weam A Al-khaleeli, M. H. Al-Khafaji, Mazin Al-wswasi
Conventional manufacturing depends on the expertise of a process-planner in analyzing the design’s inputs and generating a comprehensive manufacturing plan. Despite the use of Computer Numerical Control (CNC) systems during the manufacturing process, it is still considered costly and time-consuming due to the demands of human intervention. Automation systems have become indispensable in the manufacturing industry since they significantly reduce the effort and errors of process planners, improve manufacturing flexibility, enhance efficiency, and minimize product costs. To solve the issue and achieve automation in this field, feature technology is used to automatically integrate the design and manufacturing processes. Algorithms of automatic feature recognition (AFR) have been developed to analyze geometric information of a part design, stored as a STEP file, and convert it to a set of predefined features. After completing the recognition process, a feature subtraction method is applied to solve the intersection issue of the predefined features which appears during the rough cutting cycle and generates intermediate features. This study focuses on recognizing and subtracting features of rotational parts. The system has been built via C# programing to detect set of 14 predefined final features, as well as different shapes of intermediate features. Both the final and intermediate features can be utilized to automatically generate the desired outputs of a process planning. This includes selecting machining process, sequence of operations, cutting tools and cutting conditions, and generating the G-code for machining the part. The proposed methodology has been evaluated through simulations and practical experiments, and the results were as expected.
传统制造依赖于工艺规划师的专业知识来分析设计输入并生成全面的制造计划。尽管在制造过程中使用了计算机数控（CNC）系统，但由于需要人工干预，因此仍被认为成本高、耗时长。自动化系统大大减少了流程规划人员的工作量和错误，提高了生产灵活性，提升了效率，并最大限度地降低了产品成本，因此已成为制造业不可或缺的一部分。为了解决这一问题并实现这一领域的自动化，特征技术被用来自动整合设计和制造流程。目前已开发出自动特征识别（AFR）算法，用于分析存储为 STEP 文件的零件设计几何信息，并将其转换为一组预定义的特征。在完成识别过程后，会应用特征减法来解决预定义特征的交叉问题，该问题会在粗加工周期中出现并生成中间特征。本研究的重点是识别和减去旋转零件的特征。该系统通过 C# 编程建立，可检测 14 个预定义最终特征集以及不同形状的中间特征。最终特征和中间特征均可用于自动生成工艺规划所需的输出。这包括选择加工工艺、操作顺序、切削工具和切削条件，以及生成加工零件的 G 代码。通过模拟和实际实验对所提出的方法进行了评估，结果符合预期。
{"title":"The Use of Feature Technology in Selecting Cutting Tools and Generating Tool Paths","authors":"Weam A Al-khaleeli, M. H. Al-Khafaji, Mazin Al-wswasi","doi":"10.56294/sctconf2024856","DOIUrl":"https://doi.org/10.56294/sctconf2024856","url":null,"abstract":"Conventional manufacturing depends on the expertise of a process-planner in analyzing the design’s inputs and generating a comprehensive manufacturing plan. Despite the use of Computer Numerical Control (CNC) systems during the manufacturing process, it is still considered costly and time-consuming due to the demands of human intervention. Automation systems have become indispensable in the manufacturing industry since they significantly reduce the effort and errors of process planners, improve manufacturing flexibility, enhance efficiency, and minimize product costs. To solve the issue and achieve automation in this field, feature technology is used to automatically integrate the design and manufacturing processes. Algorithms of automatic feature recognition (AFR) have been developed to analyze geometric information of a part design, stored as a STEP file, and convert it to a set of predefined features. After completing the recognition process, a feature subtraction method is applied to solve the intersection issue of the predefined features which appears during the rough cutting cycle and generates intermediate features. This study focuses on recognizing and subtracting features of rotational parts. The system has been built via C# programing to detect set of 14 predefined final features, as well as different shapes of intermediate features. Both the final and intermediate features can be utilized to automatically generate the desired outputs of a process planning. This includes selecting machining process, sequence of operations, cutting tools and cutting conditions, and generating the G-code for machining the part. The proposed methodology has been evaluated through simulations and practical experiments, and the results were as expected.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"45 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141358608","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}
Bushra Majed Hameed Jaseem, Muhammed Salah Sadiq Al-Kafaji
The transposition factor (TF) enhances the photovoltaic (PV) systems' capacity to generate output power. The observed phenomenon denotes the alteration in power production resulting from the inclination of the collector plane. The objective of this study is to assess and compare the effects of two different types of orientation, fixed titled plane and seasonal tilt adjustment, on the power output of a photovoltaic system located in the electrical engineering technologies department at Al- Musayyib Technical College (MTC) in Iraq. The specific coordinates of the location are latitude 32° 46′ 59.99″ N and longitude 44° 19′ 0.01 E . The simulation will be conducted using the Perez model in PVSYST software, focusing on a standalone system with a power capacity of 3000 Wp. The results that were displayed are dependent on the highest (TF), the optimal tilt angle for a fixed tilted plane is (28o), and for seasonal tilt adjustment is (12o in summer and 50o in winter),. In addition, the results showed that applying the seasonal tilt adjustment was preferable to using a fixed titled plane in this location to gain the maximum amount of system production power while maintaining a low cost.
{"title":"Evaluating and Analyzing The Transposition Factor In Al- Musayyib Technical College to Setting The Optimal Tilt Angle for Fixed And Seasonal Orientation","authors":"Bushra Majed Hameed Jaseem, Muhammed Salah Sadiq Al-Kafaji","doi":"10.56294/sctconf2024853","DOIUrl":"https://doi.org/10.56294/sctconf2024853","url":null,"abstract":"The transposition factor (TF) enhances the photovoltaic (PV) systems' capacity to generate output power. The observed phenomenon denotes the alteration in power production resulting from the inclination of the collector plane. The objective of this study is to assess and compare the effects of two different types of orientation, fixed titled plane and seasonal tilt adjustment, on the power output of a photovoltaic system located in the electrical engineering technologies department at Al- Musayyib Technical College (MTC) in Iraq. The specific coordinates of the location are latitude 32° 46′ 59.99″ N and longitude 44° 19′ 0.01 E . The simulation will be conducted using the Perez model in PVSYST software, focusing on a standalone system with a power capacity of 3000 Wp. The results that were displayed are dependent on the highest (TF), the optimal tilt angle for a fixed tilted plane is (28o), and for seasonal tilt adjustment is (12o in summer and 50o in winter),. In addition, the results showed that applying the seasonal tilt adjustment was preferable to using a fixed titled plane in this location to gain the maximum amount of system production power while maintaining a low cost.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141360314","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}
Wire Electrical Discharge Machining (WEDM) represents a non-conventional machining approach that harnesses thermal electrical energy for the fabrication of intricate structures. WEDM machines excel in achieving precise dimensions and a polished surface finish. It finds frequent application in the machining of robust materials that pose challenges for conventional manufacturing methods due to issues like vibrations. Within this machining method, numerous process parameters and performance indicators come into play, prompting various studies and investigations into its intricacies. This paper presents a comprehensive overview of current research trends in WEDM, particularly focusing on parameters for enhancing performance, such as surface roughness (SR), material removal rate (MRR), and Kerf width (KW). Notably, several process parameters, including pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), contribute to the WEDM process. Additionally, various optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) are employed across diverse materials, encompassing alloys, superalloys, and composites. The findings of this study suggest the importance of considering various process parameters, such as pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), in the WEDM process. Moreover, the application of optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) is recommended. These recommendations aim to improve the understanding and optimization of WEDM processes, especially when applied to diverse materials, including alloys, superalloys, and composites.
{"title":"WEDM Process Parameters Analysis and Optimization: A Review","authors":"Huda Anwar, S. K. Shather, Waqass Khudhir","doi":"10.56294/sctconf2024860","DOIUrl":"https://doi.org/10.56294/sctconf2024860","url":null,"abstract":"Wire Electrical Discharge Machining (WEDM) represents a non-conventional machining approach that harnesses thermal electrical energy for the fabrication of intricate structures. WEDM machines excel in achieving precise dimensions and a polished surface finish. It finds frequent application in the machining of robust materials that pose challenges for conventional manufacturing methods due to issues like vibrations. Within this machining method, numerous process parameters and performance indicators come into play, prompting various studies and investigations into its intricacies. This paper presents a comprehensive overview of current research trends in WEDM, particularly focusing on parameters for enhancing performance, such as surface roughness (SR), material removal rate (MRR), and Kerf width (KW). Notably, several process parameters, including pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), contribute to the WEDM process. Additionally, various optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) are employed across diverse materials, encompassing alloys, superalloys, and composites. The findings of this study suggest the importance of considering various process parameters, such as pulse-off-time (TOFF), servo voltage (SV), pulse-on-time (TON), peak current (I), and wire tension (WT), in the WEDM process. Moreover, the application of optimization techniques like the Taguchi method, Grey Relation Analysis (GRA), and analysis of variance (ANOVA) is recommended. These recommendations aim to improve the understanding and optimization of WEDM processes, especially when applied to diverse materials, including alloys, superalloys, and composites.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"18 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357436","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}
Narratives about the epidemic plague create a sense of mystery and fear associated with the cultural landscape. Incorporating the backdrop of the plague, the first part of this research explores the portrayal of the epidemic as the setting against which a Priest engages in a ritualistic transgression to safeguard his soul. The second part focuses on the enigmatic events that unfold when the tomb of the priest inside the church is disturbed, giving rise to a series of mysterious occurrences. By employing Linda Hutcheon's historiographic metafiction, the study focuses on remembering the epidemic plague in the novel A Shadow on the Wall by Jonathan Aycliffe. It examines the interplay between memory and the construction of narrative. This research article delves into the fascinating realm of memory and its profound influence on human consciousness through the novel. It explores how memory can create an imaginary experience, allowing the protagonist to briefly revisit a past that haunts his present and might alter his future. Moreover, the article delves into the intricate operations of cultural collective memory associated with the church, shedding light on its ability to articulate the complex relationship between the past, present, and future within the human psyche. By investigating these themes, this research contributes to a deeper understanding of the intricate workings of memory and its role in shaping human consciousness.
{"title":"Gothic imagination: mapping the cultural memory and remembrance of the epidemic plague","authors":"B. Ramya, Poonam , Dr. William Castillo-González","doi":"10.56294/sctconf2024911","DOIUrl":"https://doi.org/10.56294/sctconf2024911","url":null,"abstract":"Narratives about the epidemic plague create a sense of mystery and fear associated with the cultural landscape. Incorporating the backdrop of the plague, the first part of this research explores the portrayal of the epidemic as the setting against which a Priest engages in a ritualistic transgression to safeguard his soul. The second part focuses on the enigmatic events that unfold when the tomb of the priest inside the church is disturbed, giving rise to a series of mysterious occurrences. By employing Linda Hutcheon's historiographic metafiction, the study focuses on remembering the epidemic plague in the novel A Shadow on the Wall by Jonathan Aycliffe. It examines the interplay between memory and the construction of narrative. This research article delves into the fascinating realm of memory and its profound influence on human consciousness through the novel. It explores how memory can create an imaginary experience, allowing the protagonist to briefly revisit a past that haunts his present and might alter his future. Moreover, the article delves into the intricate operations of cultural collective memory associated with the church, shedding light on its ability to articulate the complex relationship between the past, present, and future within the human psyche. By investigating these themes, this research contributes to a deeper understanding of the intricate workings of memory and its role in shaping human consciousness.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"9 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141356154","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}
Benil Dani Alexander, S. Vasantha, M. Thaiyalnayaki
In this current study, our main goal is to explore the connections between wealth career management, job competency, and satisfaction with career success. Moreover, it seeks to explore the intermediary mechanisms through which wealth career management affects employees' level of contentment with their professional trajectories. Employing the analytical tool of structural equation modelling (SEM), the study has yielded noteworthy insights. SEM analysis findings underscore the pivotal role of job competency as a mediator. In essence, job competency serves as an explanatory link, shedding light on how different facets of wealth career management - namely, career development, superior work performance, intention to stay and performance management- influence an individual's career success satisfaction. This suggests that the way in which employees perceive their own competence within their careers significantly influences how the different aspects of wealth career management affect their satisfaction with career success.
{"title":"From a wealth management career to employee career success satisfaction: exploring the mediating role of job competency","authors":"Benil Dani Alexander, S. Vasantha, M. Thaiyalnayaki","doi":"10.56294/sctconf2024903","DOIUrl":"https://doi.org/10.56294/sctconf2024903","url":null,"abstract":"In this current study, our main goal is to explore the connections between wealth career management, job competency, and satisfaction with career success. Moreover, it seeks to explore the intermediary mechanisms through which wealth career management affects employees' level of contentment with their professional trajectories. Employing the analytical tool of structural equation modelling (SEM), the study has yielded noteworthy insights. SEM analysis findings underscore the pivotal role of job competency as a mediator. In essence, job competency serves as an explanatory link, shedding light on how different facets of wealth career management - namely, career development, superior work performance, intention to stay and performance management- influence an individual's career success satisfaction. This suggests that the way in which employees perceive their own competence within their careers significantly influences how the different aspects of wealth career management affect their satisfaction with career success.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"37 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141358667","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}
Beeraka Chalapathi, G. Rajini, Dr. William Castillo-González
User behavior has had a significant impact on the fashion sector's marketing strategy. Environmental knowledge, market attitude, social conditioning, and value perception worth all had a favorable influence on the buying, but market attitude had the significant impacts. This study used a decision-making model that encompassed cognition, emotive, and behavior intentions to examine customer behavior of product consumer engagement. On the questionnaires, the demographic and hypothesis measurement items were separated. Only 370 of the 500 persons who applied have any previous experience shopping in the fashion industry. The major factors used to measure hypotheses are Promotional Strategy, Customer Satisfaction, Relationship Satisfaction, Purchase Intent, Loyalty Intention, and Participation Intention. All elements were evaluated using a 5-point Likert scale to measure from 1 – 5. This study also suggests that in order to achieve marketing goals and achieve long-term effectiveness for businesses, marketing content should be followed by Marketing Activity (MA) and Customer Experience (CE).
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This study attempts to prepare PMMA nano-composite samples armed with polyvinyl alcohol electrospun nanofibers. One layer, two layers, and three layers of nanofiber reinforcement were all utilized. As well as, one drop (0.01 g) and three drops of the cardamom oil were used. Using a differential calorimeter, thermal experiments were carried out, including those for the Tg and the thermal dissociation point. Mechanical tests were conducted on the samples, including compression testing to determine the elongation characteristics, compressive strength, Young's modulus, yield strength, and toughness. All samples were also subjected to an impact strength test. Results showed that the Tg point increased due to the presence of nanofibers from 136 to 195 Celsius, and that 277 Celsius was the thermal breakdown point. According to the mechanical property data, the impact strength increased as the percentage of nanofibers rose and increased further when one drop of cardamom oil was mixed with a very tiny amount (0.01 g) of material. Additionally, it was noted that the samples did not break easily since nanofibers and a drop of cardamom oil were present. Additionally, it was demonstrated that the sample's strength increased to 195 kJ/m2, as well as 0.02 weight % of fibers, the maximum strength value.
{"title":"Síntesis de nanofibras de pva para mejorar las propiedades mecánicas y térmicas de la matriz de PMMA para aplicaciones en bases de prótesis dentales","authors":"Elaf J. Mohamed, Hanaa J. Kadhim, Masar N. Obaid","doi":"10.56294/sctconf2024873","DOIUrl":"https://doi.org/10.56294/sctconf2024873","url":null,"abstract":"This study attempts to prepare PMMA nano-composite samples armed with polyvinyl alcohol electrospun nanofibers. One layer, two layers, and three layers of nanofiber reinforcement were all utilized. As well as, one drop (0.01 g) and three drops of the cardamom oil were used. Using a differential calorimeter, thermal experiments were carried out, including those for the Tg and the thermal dissociation point. Mechanical tests were conducted on the samples, including compression testing to determine the elongation characteristics, compressive strength, Young's modulus, yield strength, and toughness. All samples were also subjected to an impact strength test. Results showed that the Tg point increased due to the presence of nanofibers from 136 to 195 Celsius, and that 277 Celsius was the thermal breakdown point. According to the mechanical property data, the impact strength increased as the percentage of nanofibers rose and increased further when one drop of cardamom oil was mixed with a very tiny amount (0.01 g) of material. Additionally, it was noted that the samples did not break easily since nanofibers and a drop of cardamom oil were present. Additionally, it was demonstrated that the sample's strength increased to 195 kJ/m2, as well as 0.02 weight % of fibers, the maximum strength value.","PeriodicalId":270620,"journal":{"name":"Salud, Ciencia y Tecnología - Serie de Conferencias","volume":"21 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141357404","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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