Pub Date : 2022-01-01DOI: 10.56828/jser.2022.1.1.3
A. Kunjir
{"title":"Voiceprint Recognition based on Machine Learning Methods","authors":"A. Kunjir","doi":"10.56828/jser.2022.1.1.3","DOIUrl":"https://doi.org/10.56828/jser.2022.1.1.3","url":null,"abstract":"","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85777629","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 : 2022-01-01DOI: 10.56293/ijasr.2022.5478
Mohamed S. Soliman
Proportional-integral-derivative (PID) control algorithm with its various forms, namely P (proportional), PI (proportional-integral), PD (proportional-derivative), PID, and compensators, is considered the most applied and widely used control algorithms in industry; this is because of its simple construction, robustness and capabilities to achieve desired control over plant performance. Designing PID algorithm is accomplished with a compromise to result in an overall system responds with acceptable levels of stability, response fastness, smoothness and costs. Various PID design methodologies and expressions have been introduced in text and literature,each has its advantages, disadvantages and limitations. In the present work, a new, efficient, simple, easy to apply and linear expressions for PID algorithmP-. PI, PD, and PID modes design are derived and presented. Expressions are derived based on relating parameters of both controller and plant. The expressions are intended to control the behavior of second order systems and approximated as such systems, such that it responds with acceptable stability level, minimum possible overshoot, oscillations and steady state error. To further improve the resulted response, only one tuning parameter α, is introduced To test, analyze, and evaluate the design expressions, MATLAB/Simulink software was used. A simulation model was built by integrating the next sub-models; PID control algorithm modes, drive with limitation and saturation blocks, sensor, desired output signal generator and finally various forms of second order systems. The simulation model was developed and refined to be as close as possible to real life conditions and processing. Studying the recorded testing, graphical and numerical results show that the suggested expressions are being simple and easy to apply, and also efficient in providing better control over controlled system’s behavior in terms of response measures and performance indices.Moreover, expressions are efficient to speed up response and eliminate or reduce overshoot, rise time and settling time. Studying results show that, the overall system responds with acceptable fast response, in most cases without overshoot, oscillation and with minimum steady state error and better ISE and IAE indices values.
{"title":"Competent and uncomplicated PID control algorithm design expressions for controlling second order systems","authors":"Mohamed S. Soliman","doi":"10.56293/ijasr.2022.5478","DOIUrl":"https://doi.org/10.56293/ijasr.2022.5478","url":null,"abstract":"Proportional-integral-derivative (PID) control algorithm with its various forms, namely P (proportional), PI (proportional-integral), PD (proportional-derivative), PID, and compensators, is considered the most applied and widely used control algorithms in industry; this is because of its simple construction, robustness and capabilities to achieve desired control over plant performance. Designing PID algorithm is accomplished with a compromise to result in an overall system responds with acceptable levels of stability, response fastness, smoothness and costs. Various PID design methodologies and expressions have been introduced in text and literature,each has its advantages, disadvantages and limitations. In the present work, a new, efficient, simple, easy to apply and linear expressions for PID algorithmP-. PI, PD, and PID modes design are derived and presented. Expressions are derived based on relating parameters of both controller and plant. The expressions are intended to control the behavior of second order systems and approximated as such systems, such that it responds with acceptable stability level, minimum possible overshoot, oscillations and steady state error. To further improve the resulted response, only one tuning parameter α, is introduced To test, analyze, and evaluate the design expressions, MATLAB/Simulink software was used. A simulation model was built by integrating the next sub-models; PID control algorithm modes, drive with limitation and saturation blocks, sensor, desired output signal generator and finally various forms of second order systems. The simulation model was developed and refined to be as close as possible to real life conditions and processing. Studying the recorded testing, graphical and numerical results show that the suggested expressions are being simple and easy to apply, and also efficient in providing better control over controlled system’s behavior in terms of response measures and performance indices.Moreover, expressions are efficient to speed up response and eliminate or reduce overshoot, rise time and settling time. Studying results show that, the overall system responds with acceptable fast response, in most cases without overshoot, oscillation and with minimum steady state error and better ISE and IAE indices values.","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86082527","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 : 2022-01-01DOI: 10.56293/ijasr.2022.5514
Mohammed S. Alzaidi
Nonorthogonal multiple access (NOMA) is a promising multiple access scheme for 5G wireless networks. However, NOMA faces several challenges that still need to be solved optimally. Deep learning algorithms have been proposed as a potential solution to address these challenges. This review provides an overview of the use of deep learning algorithms to optimize NOMA performance in 5G networks. An investigation is conducted on how deep learning methods are applied in NOMA systems for resource allocation, channel estimation and detection, successive interference cancellation, and user clustering.They can learn optimal user clustering, optimal allocation, and interference alignment strategies, eventually boosting the network performance. In addition, deep learning algorithms can learn the complex relationships between the transmitted symbols and the received signal, leading to accurate detection of the superimposed signals. Opportunities and challenges in NOMA can be identified based on existing research showing how applying deep learning algorithms is better than conventional approaches. The main contribution of this review is to provide insights into the potential of deep learning algorithms to remarkably improve NOMA performance in 5G networks. This article is also a valuable resource for researchers and practitioners interested in using deep learning algorithms for NOMA in 5G networks.
{"title":"Deep Learning Approaches for Overcoming Nonorthogonal Multiple Access Challenges in 5G Networks: A Review","authors":"Mohammed S. Alzaidi","doi":"10.56293/ijasr.2022.5514","DOIUrl":"https://doi.org/10.56293/ijasr.2022.5514","url":null,"abstract":"Nonorthogonal multiple access (NOMA) is a promising multiple access scheme for 5G wireless networks. However, NOMA faces several challenges that still need to be solved optimally. Deep learning algorithms have been proposed as a potential solution to address these challenges. This review provides an overview of the use of deep learning algorithms to optimize NOMA performance in 5G networks. An investigation is conducted on how deep learning methods are applied in NOMA systems for resource allocation, channel estimation and detection, successive interference cancellation, and user clustering.They can learn optimal user clustering, optimal allocation, and interference alignment strategies, eventually boosting the network performance. In addition, deep learning algorithms can learn the complex relationships between the transmitted symbols and the received signal, leading to accurate detection of the superimposed signals. Opportunities and challenges in NOMA can be identified based on existing research showing how applying deep learning algorithms is better than conventional approaches. The main contribution of this review is to provide insights into the potential of deep learning algorithms to remarkably improve NOMA performance in 5G networks. This article is also a valuable resource for researchers and practitioners interested in using deep learning algorithms for NOMA in 5G networks.","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85566233","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 : 2022-01-01DOI: 10.56293/ijasr.2022.5403
Von Miguel P. Asenorio, Luzvimin B. Dela Rosa, Dorothy Mae M. Dinagsao, Hyacinth I. Laranio, Neil Bryan D. Miague, Jay-arr J. Polestico, Dr. Jenyliza T. Ucang
The study aims to assess the students’ level of knowledge, attitudes, beliefs, and academic performance in a dynamic learning program (DLP). The Dynamic Learning Program (DLP), which is based on activity-based multidomain learning, requires students to work independently in order to read the concept notes and complete the exercises before the lesson is discussed and explained. This way, students can independently discover and understand the lesson. Students learn more by acting than by merely listening, according to the theory. This study utilized descriptive statistics to determine the students’ level of knowledge, attitudes, beliefs, and academic performance. The Pearson Product Moment Correlation Coefficient and multiple-linear regression were both used to determine which variable or variables, alone or in combination, best predict students' academic achievement in mathematics. This study was conducted at Pangantucan Community High School, Pangantucan, and Bukidnon. The respondents of this study were the 120 grade-11 students who were exposed to Dynamic Learning Program. The results of this study shown that the students are highly knowledgeable about DLP, and this teaching methodology was highly accepted and valued by the PCHS students. The academic performance of the students is above the average, it implies that the students who were exposed to dynamic learning programs have a good performance in their mathematics subject. However, the Pearson product-moment correlation showed that the student’s knowledge, attitude, and beliefs on Dynamic learning Program was not significantly correlated to their academic performance. And also, in the multiple-linear regression results showed that students’ knowledge, attitudes, and beliefs on dynamic learning couldn’t predict the academic performance of the students in their mathematics subject during modular distance learning modality.
{"title":"Knowledge, Attitudes, Beliefs, and Student’s Academic Performance on Dynamic learning Program","authors":"Von Miguel P. Asenorio, Luzvimin B. Dela Rosa, Dorothy Mae M. Dinagsao, Hyacinth I. Laranio, Neil Bryan D. Miague, Jay-arr J. Polestico, Dr. Jenyliza T. Ucang","doi":"10.56293/ijasr.2022.5403","DOIUrl":"https://doi.org/10.56293/ijasr.2022.5403","url":null,"abstract":"The study aims to assess the students’ level of knowledge, attitudes, beliefs, and academic performance in a dynamic learning program (DLP). The Dynamic Learning Program (DLP), which is based on activity-based multidomain learning, requires students to work independently in order to read the concept notes and complete the exercises before the lesson is discussed and explained. This way, students can independently discover and understand the lesson. Students learn more by acting than by merely listening, according to the theory. This study utilized descriptive statistics to determine the students’ level of knowledge, attitudes, beliefs, and academic performance. The Pearson Product Moment Correlation Coefficient and multiple-linear regression were both used to determine which variable or variables, alone or in combination, best predict students' academic achievement in mathematics. This study was conducted at Pangantucan Community High School, Pangantucan, and Bukidnon. The respondents of this study were the 120 grade-11 students who were exposed to Dynamic Learning Program. The results of this study shown that the students are highly knowledgeable about DLP, and this teaching methodology was highly accepted and valued by the PCHS students. The academic performance of the students is above the average, it implies that the students who were exposed to dynamic learning programs have a good performance in their mathematics subject. However, the Pearson product-moment correlation showed that the student’s knowledge, attitude, and beliefs on Dynamic learning Program was not significantly correlated to their academic performance. And also, in the multiple-linear regression results showed that students’ knowledge, attitudes, and beliefs on dynamic learning couldn’t predict the academic performance of the students in their mathematics subject during modular distance learning modality.","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80379913","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 : 2022-01-01DOI: 10.56293/ijasr.2022.5455
Yuzheng Xie, Unman Chan, Y. Huang
Orthodontic tooth movement animal models are important carriers for studying orthodontic tooth movement. Experimental animals that can be modeled include: rats, mice, dogs, rabbits, etc. How to select suitable animal models for different scientific problems is very important. Therefore, this paper reviews the types and characteristics of orthodontic tooth movement animal models, and focuses on the similarities and differences of rodent anatomy, modeling methods and considerations. It is found that there is a lack of unified modeling standards for orthodontic tooth movement animal models. Thus appropriate animal models should be selected according to actual needs.
{"title":"Research progress of animal models on orthodontic tooth movement","authors":"Yuzheng Xie, Unman Chan, Y. Huang","doi":"10.56293/ijasr.2022.5455","DOIUrl":"https://doi.org/10.56293/ijasr.2022.5455","url":null,"abstract":"Orthodontic tooth movement animal models are important carriers for studying orthodontic tooth movement. Experimental animals that can be modeled include: rats, mice, dogs, rabbits, etc. How to select suitable animal models for different scientific problems is very important. Therefore, this paper reviews the types and characteristics of orthodontic tooth movement animal models, and focuses on the similarities and differences of rodent anatomy, modeling methods and considerations. It is found that there is a lack of unified modeling standards for orthodontic tooth movement animal models. Thus appropriate animal models should be selected according to actual needs.","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87607548","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 : 2022-01-01DOI: 10.56293/ijasr.2022.5413
Teddy E. Colipano
This study investigated the factors that influence the business performance of micro-enterprises in Northern Mindanao. Specifically, it examined the profile, marketing practices, entrepreneurial orientation, access to finance, and business performance of these enterprises. The study used responses from 417 micro-enterprises selected through stratified random sampling from the provinces of Bukidnon, Camiguin, Lanao del Norte, Misamis Occidental and Misamis Oriental. A descriptivecorrelational research design was employed to attain the objectives of the study. More than half of micro-enterprises employed 1-4 employees and undertook their business for not more than five years. Marketing practices are implemented most of the time. Their entrepreneurial orientation was high, access to finance was moderate to great, and their business performance for the last three years was average to good. The aggregate multinomial logistic regression analysis reveals that among the variables used in the study, business age, marketing practices, entrepreneurial orientation, and access to finance significantly influence the business performance of micro-enterprises. The multinomial logistic regression per industry analysis yields a different result. In merchandising industry sector, marketing practices, business age, and access to finance influence substantially business performance. In the service industry sector, entrepreneurial orientation, business age, and access to finance significantly influence business performance.
本研究探讨了棉兰老岛北部微型企业经营绩效的影响因素。具体来说，它考察了这些企业的概况、营销实践、创业方向、融资渠道和经营业绩。该研究使用了通过分层随机抽样从Bukidnon、Camiguin、Lanao del Norte、Misamis western和Misamis Oriental各省选出的417家微型企业的反馈。采用描述性相关研究设计来达到研究目标。一半以上的微型企业雇用1-4名员工，创业时间不超过5年。营销实践在大多数时候都是实施的。他们的创业倾向高，获得融资的机会从中等到很大，过去三年的经营业绩从一般到良好。综合多项逻辑回归分析表明，在研究中使用的变量中，创业年龄、营销实践、创业取向和融资渠道对微型企业的经营绩效有显著影响。每个行业的多项逻辑回归分析得出了不同的结果。在商品销售行业，营销实践、商业时代和融资渠道对企业绩效有很大影响。在服务业部门，创业取向、创业年龄和融资渠道对企业绩效有显著影响。
{"title":"BUSINESS PERFORMANCE OF MICRO-ENTERPRISES IN NORTHERN MINDANAO, PHILIPPINES: A MULTINOMIAL LOGISTIC REGRESSION ANALYSIS","authors":"Teddy E. Colipano","doi":"10.56293/ijasr.2022.5413","DOIUrl":"https://doi.org/10.56293/ijasr.2022.5413","url":null,"abstract":"This study investigated the factors that influence the business performance of micro-enterprises in Northern Mindanao. Specifically, it examined the profile, marketing practices, entrepreneurial orientation, access to finance, and business performance of these enterprises. The study used responses from 417 micro-enterprises selected through stratified random sampling from the provinces of Bukidnon, Camiguin, Lanao del Norte, Misamis Occidental and Misamis Oriental. A descriptivecorrelational research design was employed to attain the objectives of the study. More than half of micro-enterprises employed 1-4 employees and undertook their business for not more than five years. Marketing practices are implemented most of the time. Their entrepreneurial orientation was high, access to finance was moderate to great, and their business performance for the last three years was average to good. The aggregate multinomial logistic regression analysis reveals that among the variables used in the study, business age, marketing practices, entrepreneurial orientation, and access to finance significantly influence the business performance of micro-enterprises. The multinomial logistic regression per industry analysis yields a different result. In merchandising industry sector, marketing practices, business age, and access to finance influence substantially business performance. In the service industry sector, entrepreneurial orientation, business age, and access to finance significantly influence business performance.","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83639687","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 : 2022-01-01DOI: 10.56293/ijasr.2022.5411
John Lloyd P. Alarcon, Niko P. Dumagan, Milky A. Lumakang, Arman P. Nuezca
The purpose of the study is to determine the students` attitudes, assess their learning environment, and find out the relationship between students` attitudes and learning environment in virtual laboratory class among 173 science education students from the College of Education, Central Mindanao University. This quantitative study used descriptive correlation research as research design and data analysis. The results of the study revealed that the students' attitude in virtual laboratory classes in terms of inquiry was acceptable, and the enjoyment was highly acceptable among the respondents. For the learning environment in virtual laboratory classes, five dimensions were moderately practiced, namely: integration, material environment, teacher support, task orientation, and investigation. Only the dimension of differentiation was fairly practiced among the science education students. The result of the Pearson (r) correlation shows the significant relationship between the learning environment and students' attitudes in virtual laboratory classes. The study recommends that enhancing the setup for virtual laboratory is one of the keys to promoting a positive attitude and in performance of the students in the activities and experimentations.
{"title":"STUDENTS’ ATTITUDE AND THEIR LEARNING ENVIRONMENT INVIRTUAL LABORATORY CLASS","authors":"John Lloyd P. Alarcon, Niko P. Dumagan, Milky A. Lumakang, Arman P. Nuezca","doi":"10.56293/ijasr.2022.5411","DOIUrl":"https://doi.org/10.56293/ijasr.2022.5411","url":null,"abstract":"The purpose of the study is to determine the students` attitudes, assess their learning environment, and find out the relationship between students` attitudes and learning environment in virtual laboratory class among 173 science education students from the College of Education, Central Mindanao University. This quantitative study used descriptive correlation research as research design and data analysis. The results of the study revealed that the students' attitude in virtual laboratory classes in terms of inquiry was acceptable, and the enjoyment was highly acceptable among the respondents. For the learning environment in virtual laboratory classes, five dimensions were moderately practiced, namely: integration, material environment, teacher support, task orientation, and investigation. Only the dimension of differentiation was fairly practiced among the science education students. The result of the Pearson (r) correlation shows the significant relationship between the learning environment and students' attitudes in virtual laboratory classes. The study recommends that enhancing the setup for virtual laboratory is one of the keys to promoting a positive attitude and in performance of the students in the activities and experimentations.","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"130 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83991169","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 : 2022-01-01DOI: 10.56293/ijasr.2022.5491
Ms. Sabiyah Youssouf, Dr. Mohd Sabiq, Ms. Razia Yousuf
Food is the main fuel that runs a human body, both in health and illness. Food and Nutrition play a major role in the prevention of almost all diseases and promotion of health. Unfortunately at the global level, India is being placed among the highest ranked countries on the basis of number of malnourished children1. Childhood is a crucial period where we need to pay some extra attention for the nutritional needs and nutritional care of a child, as it acts as a strong pillar for his/her growth and development and prevention of malnutrition. Despite many medical advances over the past 20 years, the prevalence of malnutrition among hospitalized children has not decreased. Since the staff nurses spent more time with patients than any other healthcare workers and the patient recovery is greatly affected by the quality of care these nurses provide to their patients in all the aspects of care, including the nutritional aspect. Present study was conducted to assess the Nurses’ Knowledge, Attitude and Practice towards nutritional care of the hospitalized children, in order to ensure quality nutritional care for hospitalized children who are at risk of developing malnutrition or who are already victims of it. A nonexperimental descriptive research design was adopted to carry out the present study on a sample of 40 staff nurses working at a Tertiary care hospital of Karnataka by administering MKAP questionnaire. The results of the study showed that majority of the staff nurses 28(70%) had average knowledge and neutral attitude regarding malnutrition and nutritional care among hospitalized children , while as 7(17.5%) had good knowledge and positive attitude and 5( 12.5%) of them had poor knowledge and negative attitude regarding malnutrition and nutritional care among hospitalized children. The majority of the staff nurses 25(62.5%) showed neutral practice regarding malnutrition and nutritional care among hospitalized children, while as 10 (25%) showed beneficial practice and 5 (12.5%) of them showed non-beneficial practice regarding malnutrition and nutritional care among hospitalized children. In the present study the association of Levels of KAP with demographic characteristics of the staff nurses was calculated by using chi-square test and no association was found between the two except for gender. The study concluded that most of the staff nurses are having average knowledge and neutral attitude and practice towards malnutrition and nutritional care of hospitalized children
{"title":"A STUDY TO ASSESS THE KNOWLEDGE, ATTITUDE AND PRACTICE OF STAFF NURSES REGARDING MALNUTRITION AND NUTRITIONAL CARE OF HOSPITALIZED CHILDREN IN A TERTIARY CARE HOSPITAL BELAGAVI, KARNATAKA","authors":"Ms. Sabiyah Youssouf, Dr. Mohd Sabiq, Ms. Razia Yousuf","doi":"10.56293/ijasr.2022.5491","DOIUrl":"https://doi.org/10.56293/ijasr.2022.5491","url":null,"abstract":"Food is the main fuel that runs a human body, both in health and illness. Food and Nutrition play a major role in the prevention of almost all diseases and promotion of health. Unfortunately at the global level, India is being placed among the highest ranked countries on the basis of number of malnourished children1. Childhood is a crucial period where we need to pay some extra attention for the nutritional needs and nutritional care of a child, as it acts as a strong pillar for his/her growth and development and prevention of malnutrition. Despite many medical advances over the past 20 years, the prevalence of malnutrition among hospitalized children has not decreased. Since the staff nurses spent more time with patients than any other healthcare workers and the patient recovery is greatly affected by the quality of care these nurses provide to their patients in all the aspects of care, including the nutritional aspect. Present study was conducted to assess the Nurses’ Knowledge, Attitude and Practice towards nutritional care of the hospitalized children, in order to ensure quality nutritional care for hospitalized children who are at risk of developing malnutrition or who are already victims of it. A nonexperimental descriptive research design was adopted to carry out the present study on a sample of 40 staff nurses working at a Tertiary care hospital of Karnataka by administering MKAP questionnaire. The results of the study showed that majority of the staff nurses 28(70%) had average knowledge and neutral attitude regarding malnutrition and nutritional care among hospitalized children , while as 7(17.5%) had good knowledge and positive attitude and 5( 12.5%) of them had poor knowledge and negative attitude regarding malnutrition and nutritional care among hospitalized children. The majority of the staff nurses 25(62.5%) showed neutral practice regarding malnutrition and nutritional care among hospitalized children, while as 10 (25%) showed beneficial practice and 5 (12.5%) of them showed non-beneficial practice regarding malnutrition and nutritional care among hospitalized children. In the present study the association of Levels of KAP with demographic characteristics of the staff nurses was calculated by using chi-square test and no association was found between the two except for gender. The study concluded that most of the staff nurses are having average knowledge and neutral attitude and practice towards malnutrition and nutritional care of hospitalized children","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82003113","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 : 2022-01-01DOI: 10.56293/ijasr.2022.5460
TriPrasetyorini
Polycystic Ovary Syndrome (PCOS) is one of the most common gynecological problems in women of reproductive age. PCOS is usually a collection of symptoms including amenorrhea, oligomenorrhea, infertility, obesity, hirsutism, acne, alopecia, and acanthosis nigrican. The number of women of reproductive age scattered in the world, as many as 4-18% have PCOS. This study aims to assess the relationship between blood glucose levels and lipid profile in patients with polycystic ovary syndrome (PCOS). The type of research used is an analytic observational study with a cross-sectional design. The population in this study was PCOS patient data that met the inclusion and exclusion criteria for the period January 2019 - December 2021 at RSUD Budhi Asih. The results of the study of 27 PCOS patient data were tested by Pearson correlation analysis, on the level of GDP and total cholesterol, the Sig (p) value was 0.000 (p < 0.05) with a strong closeness (r) and a positive direction of correlation (0.812). GDP levels with LDL levels, obtained a sig (p) value of 0.002 (p< 0.05) with a moderate level of closeness (r) and a positive direction of correlation (0.444). The conclusion in this study is that there is a relationship between fasting blood glucose (GDP) levels and lipid profiles (total cholesterol, LDL, HDL, and triglycerides).
{"title":"The Effect Between The Examination Results Blood Glucose Levels With Lipid Profile In Polycystic Ovary Syndrome (PCOS) Patients","authors":"TriPrasetyorini","doi":"10.56293/ijasr.2022.5460","DOIUrl":"https://doi.org/10.56293/ijasr.2022.5460","url":null,"abstract":"Polycystic Ovary Syndrome (PCOS) is one of the most common gynecological problems in women of reproductive age. PCOS is usually a collection of symptoms including amenorrhea, oligomenorrhea, infertility, obesity, hirsutism, acne, alopecia, and acanthosis nigrican. The number of women of reproductive age scattered in the world, as many as 4-18% have PCOS. This study aims to assess the relationship between blood glucose levels and lipid profile in patients with polycystic ovary syndrome (PCOS). The type of research used is an analytic observational study with a cross-sectional design. The population in this study was PCOS patient data that met the inclusion and exclusion criteria for the period January 2019 - December 2021 at RSUD Budhi Asih. The results of the study of 27 PCOS patient data were tested by Pearson correlation analysis, on the level of GDP and total cholesterol, the Sig (p) value was 0.000 (p < 0.05) with a strong closeness (r) and a positive direction of correlation (0.812). GDP levels with LDL levels, obtained a sig (p) value of 0.002 (p< 0.05) with a moderate level of closeness (r) and a positive direction of correlation (0.444). The conclusion in this study is that there is a relationship between fasting blood glucose (GDP) levels and lipid profiles (total cholesterol, LDL, HDL, and triglycerides).","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77313432","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 : 2022-01-01DOI: 10.56293/ijasr.2022.5503
Fisla Wirda, T. Azra, Novirwan Trinanto, Herizon
This study aims to determine the indicators of entrepreneurial competency and compile the levels of entrepreneurial competency indicators needed from the highest to the lowest level. The research population is the creative industry SMEs in the culinary sector of the city of Padang, with a sample size of 86 managers of the creative industry SMEs in the culinary sector/traditional Padang restaurants, the research location being the city of Padang. This study uses a quantitative approach with the method of SEM and uses Amos as data processing, specifically Second Order Confirmatory Factor Analysis. The results showed the dimensions of entrepreneurial competence needed: conceptual, leadership, learning, opportunity, and personal. The highest level score of the entrepreneurial competence indicator is looking at problems from a positive perspective. The lowest score is recognizing one's strengths and weaknesses and adapting to opportunities and threats. This research is helpful as a reference for indicators of entrepreneurial competency needed for creative industry SMEs in the culinary sector in the city of Padang.
{"title":"Entrepreneurial Competency Model of Successful Entrepreneur Culinaryin Padang City","authors":"Fisla Wirda, T. Azra, Novirwan Trinanto, Herizon","doi":"10.56293/ijasr.2022.5503","DOIUrl":"https://doi.org/10.56293/ijasr.2022.5503","url":null,"abstract":"This study aims to determine the indicators of entrepreneurial competency and compile the levels of entrepreneurial competency indicators needed from the highest to the lowest level. The research population is the creative industry SMEs in the culinary sector of the city of Padang, with a sample size of 86 managers of the creative industry SMEs in the culinary sector/traditional Padang restaurants, the research location being the city of Padang. This study uses a quantitative approach with the method of SEM and uses Amos as data processing, specifically Second Order Confirmatory Factor Analysis. The results showed the dimensions of entrepreneurial competence needed: conceptual, leadership, learning, opportunity, and personal. The highest level score of the entrepreneurial competence indicator is looking at problems from a positive perspective. The lowest score is recognizing one's strengths and weaknesses and adapting to opportunities and threats. This research is helpful as a reference for indicators of entrepreneurial competency needed for creative industry SMEs in the culinary sector in the city of Padang.","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82245818","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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