Background Globally, transport and unintentional injuries persist as leading preventable causes o... more Background Globally, transport and unintentional injuries persist as leading preventable causes of mortality and morbidity for adolescents. We sought to report comprehensive trends in injury-related mortality and morbidity for adolescents aged 10-24 years during the past three decades. Methods Using the Global Burden of Disease, Injuries, and Risk Factors 2019 Study, we analysed mortality and disability-adjusted life-years (DALYs) attributed to transport and unintentional injuries for adolescents in 204 countries. Burden is reported in absolute numbers and age-standardised rates per 100 000 population by sex, age group (10-14, 15-19, and 20-24 years), and sociodemographic index (SDI) with 95% uncertainty intervals (UIs). We report percentage changes in deaths and DALYs between 1990 and 2019. Findings In 2019, 369 061 deaths (of which 214 337 [58%] were transport related) and 31•1 million DALYs (of which 16•2 million [52%] were transport related) among adolescents aged 10-24 years were caused by transport and unintentional injuries combined. If compared with other causes, transport and unintentional injuries combined accounted for 25% of deaths and 14% of DALYs in 2019, and showed little improvement from 1990 when such injuries accounted for 26% of adolescent deaths and 17% of adolescent DALYs. Throughout adolescence, transport and unintentional injury fatality rates increased by age group. The unintentional injury burden was higher among males than females for all injury types, except for injuries related to fire, heat, and hot substances, or to adverse effects of medical treatment. From 1990 to 2019, global mortality rates declined by 34•4% (from 17•5 to 11•5 per 100 000) for transport injuries, and by 47•7% (from 15•9 to 8•3 per 100 000) for unintentional injuries. However, in low-SDI nations the absolute number of deaths increased (by 80•5% to 42 774 for transport injuries and by 39•4% to 31 961 for unintentional injuries). In the high-SDI quintile in 2010-19, the rate per 100 000 of transport injury DALYs was reduced by 16•7%, from 838 in 2010 to 699 in 2019. This was a substantially slower pace of reduction compared with the 48•5% reduction between 1990 and 2010, from 1626 per 100 000 in 1990 to 838 per 100 000 in 2010. Between 2010 and 2019, the rate of unintentional injury DALYs per 100 000 also remained largely unchanged in high-SDI countries (555 in 2010 vs 554 in 2019; 0•2% reduction). The number and rate of adolescent deaths and DALYs owing to environmental heat and cold exposure increased for the high-SDI quintile during 2010-19. Interpretation As other causes of mortality are addressed, inadequate progress in reducing transport and unintentional injury mortality as a proportion of adolescent deaths becomes apparent. The relative shift in the burden of injury from high-SDI countries to low and low-middle-SDI countries necessitates focused action, including global donor, government, and industry investment in injury prevention. The persisting burden of DALYs related to transport and unintentional injuries indicates a need to prioritise innovative measures for the primary prevention of adolescent injury. Funding Bill & Melinda Gates Foundation.
Introduction: In order to better designing of electronic health record system in Iran, integratio... more Introduction: In order to better designing of electronic health record system in Iran, integration of health information systems based on a common language must be done to interpret and exchange this information with this system is required. Background: This study provides a conceptual model of radiology reporting system using unified modeling language. The proposed model can solve the problem of integration this information system with the electronic
Hospital Information System (HIS) is an integrated Information System (IS) designed to enhance cl... more Hospital Information System (HIS) is an integrated Information System (IS) designed to enhance clinical, financial and administrative functions of a hospital. HIS is vital to the healthcare sector especially in public hospitals as they need to serve the public with high-quality healthcare services. Therefore, it is important to investigate the adoption of HIS in public hospitals. The aim of this study is to provide a literature review of adoption theories (Technology Organization Environment Framework, Institutional Theory and Human Organization Technology Fit Model) in IS domains and potential factors that influencing adoption of HIS framework in public hospitals with emphasis on organizational context perspective.
World Academy of Science, Engineering and Technology, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 2016
Original Article Received: 15 Dec 2017 Accepted: 19 Feb 2018 Introduction: In modern medicine, la... more Original Article Received: 15 Dec 2017 Accepted: 19 Feb 2018 Introduction: In modern medicine, large amounts of data are produced. However, there is always a gap between their collection and their understanding and interpretation. In this way, minimal data sets are prepared. Thalassemia major is a chronic genetic disorder of the blood and the most common genetic disorder in the world. Thus, the purpose of this study was to define a set for personal health of patients with major thalassemia. Methods: This present applied research was done descriptively in a cross-sectional manner by Delphi method. To determine the dataset, the manual health records of thalassemia major patients were first evaluated based on the standard paper forms of the Ministry of Health, and the data required were collected according to the checklist. The questionnaire was first reviewed by a team of six experts in the field. Its content validity was determined by the team and its reliability by Cronbach's al...
Background: Today, despite the many advances in early detection of diseases, cancer patients have... more Background: Today, despite the many advances in early detection of diseases, cancer patients have a poor prognosis and the survival rates in them are low. Recently, microarray technologies have been used for gathering thousands data about the gene expression level of cancer cells. These types of data are the main indicators in survival prediction of cancer. This study highlights the improvement of survival prediction based on gene expression data by using machine learning techniques in cancer patients. Methods: This review article was conducted by searching articles between 2000 to 2016 in scientific databases and e-Journals. We used keywords such as machine learning, gene expression data, survival and cancer. Results: Studies have shown the high accuracy and effectiveness of gene expression data in comparison with clinical data in survival prediction. Because of bewildering and high volume of such data, studies have highlighted the importance of machine learning algorithms such as ...
World Academy of Science, Engineering and Technology, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 2016
INTRODUCTION: The development of information technology (IT) in education has led to the expansio... more INTRODUCTION: The development of information technology (IT) in education has led to the expansion of new teaching and learning methods at universities. Implementation of E-learning programs at Iran's universities as well as assessing the prerequisites and level of preparation of learners to attend E-learning environments require extensive study. Therefore, this study examined to investigate the challenges of E-learning system at Tehran University of Medical Sciences. METHODOLOGY: This study was a descriptive and cross-sectional one that conducted in 2016_2017. The statistical populations were all of the students that have an E-learning course in Tehran University of Medical Sciences, from whom, 300 were selected to participate in the study using a stratified random sampling method. The tool of the study was a researcher-made questionnaire. The data were analyzed through SPSS software. RESULTS: According to the findings of this study, about half of the participants (40%) had pro...
Background The present study aimed to determine the prevalence of work-related musculoskeletal sy... more Background The present study aimed to determine the prevalence of work-related musculoskeletal symptoms (WMSs), identify potential factors associated with WMSs, and determine the association between WMSs and fatigue among nurses. Methods This cross-sectional study was carried out among 500 Iranian nurses. Data was gathered by the 1) Persian version of the Nordic musculoskeletal questionnaire (P-NMQ) to examine WMSs, and 2) Persian version of the Multidimensional Assessment of Fatigue (P-MAF) Scale to evaluate fatigue among the study population. Then, data was analyzed by SPSS version 21 using the χ2 test, multiple logistic regression for detection of potential factors associated with WMSs, and multiple linear regression for detection of potential factors associated with fatigue. Results Ankles/feet, lower back, knees, and shoulders had the highest prevalence of WMSs among nurses within the last 12 months prior to the study. Independent variables including age, job tenure, gender, sm...
BACKGROUND AND AIM : Oral squamous cell carcinoma (OSCC) is a rapidly progressive disease and des... more BACKGROUND AND AIM : Oral squamous cell carcinoma (OSCC) is a rapidly progressive disease and despite the progress in the treatment of cancer, remains a life-threatening illness with a poor prognosis. Diagnostic techniques of the oral cavity are not painful, non-invasive, simple and inexpensive methods. Clinical decision support systems (CDSSs) are the most important diagnostic technologies used to help health professionals to analyze patients’ data and make decisions. This paper, by studying CDSS applications in the process of providing care for the cancer patients, has looked into the CDSS potentials in OSCC diagnosis. METHODS : We retrieved relevant articles indexed in MEDLINE/PubMed database using high-quality keywords. First the title and then the abstract of the related articles were reviewed in the step of screening. Only research articles which had designed clinical decision support system in different stages of providing care for the cancer patient were retained in this stu...
Introduction and goal to background Due to the importance of segmentation of MRI images in identi... more Introduction and goal to background Due to the importance of segmentation of MRI images in identifying brain tumors, various methods including deep learning have been introduced for automatic brain tumor segmentation. On the other hand, using a combination of methods can improve their performance. Among them is the use of wavelet transform as an auxiliary element in deep networks. The analysis of the requirements of such combinations has been addressed in this study. Method In this developmental study, different wavelet functions were used to compress brain MRI images and finally as an auxiliary element in improving the performance of the convolutional neural network in brain tumor segmentation. Results Based on the results of the tests performed, the Daubechies1 function was most effective in enhancing network performance in segmenting MRI images and was able to balance the performance and computational overload. Conclusion Choosing the wavelet function to optimize the performance ...
Automated data analysis and pattern recognition techniques are the requirements of biological and... more Automated data analysis and pattern recognition techniques are the requirements of biological and proteomicsresearch studies. The analysis of proteins consists of some stages among which the analysis of two dimensionalelectrophoresis (2-DE) images is crucial. The aim of image capturing is to generate a Photostat that can be used infuture works such as image comparison. The researchers introduced a new method for matching two 2-DE gelimages. In this method, a neighborhood circular region is defined to obtain information about spots’ neighbors. Inthe present paper, the information obtained by this region is reordered into a matrix as a descriptor of the neighborsof each spot. The matrix is then used in matching the spots between two images. All conducted tests to evaluate themethod’s performance showed the power of the method in spot matching, even when the number of candidatematching spots in the second images increased. The proposed method provides a robust automatic comparison idea...
2018 2nd National and 1st International Digital Games Research Conference: Trends, Technologies, and Applications (DGRC)
According to the American Psychiatry Association, Attention deficit hyperactivity disorder (ADHD)... more According to the American Psychiatry Association, Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in the childhood. Considering the importance of cognitive approaches to rehab such a disorder, the purpose of the present study is to design a clinical decision support system to propose suitable computerized cognitive rehabilitation programs. At first, the scores of parameters of attention and response control in the IVA test were extracted. Then, by interviewing with experts and analyzing the results, a set of computerized cognitive rehabilitation programs (Captain Log, Lumosity, Maghzine) to empower attention and response control parameters were selected, modeled and implemented as if-then rules. To design and implement the system, the MATLAB (2016 b) programming environment was used. Designed clinical decision support system was able to provide computerized cognitive rehabilitation programs with regard to defective attention and response control parameters. It could help therapists and psychiatrists to improve the symptoms and rehab the children and adolescents with Attention deficit hyperactivity disorder.
Change in cortisol affects brain EEG signals. So, the identification of the significant EEG featu... more Change in cortisol affects brain EEG signals. So, the identification of the significant EEG features which are sensitized to cortisol concentration was the aim of the present study. From 468 participated healthy subjects, the salivary samples were taken to test the cortisol concentration and EEG signal recording was done simultaneously. Then, the subjects were categorized into three classes based on the salivary cortisol concentration (<5, 5–15 and >15 nmol/l). Some linear and nonlinear features extracted and finally, in order to investigate the relationship between cortisol level and EEG features, the following steps were taken on features in sequence: Genetic Algorithm, Neighboring Component Analysis, polyfit, artificial neural network and support vector machine classification. Two classifications were considered as following: state 1 categorized the subjects into three groups (three classes) and the second state put them into two groups (group 1: class 1 and 3, group 2: cla...
Cry as the only way of communication of babies with the surrounding environment can be happened f... more Cry as the only way of communication of babies with the surrounding environment can be happened for many reasons such as diseases, suffocation, hunger, cold and heat feeling, pain and etc. So, the analysis and detection of its source are very important for parents and health care providers. So the present study designed with the aim to test the performance of neural networks in the identification of the source of babies crying. The present study combines the genetic algorithm and artificial neural network with (Linear Predictive Coding) LPC and MFCC (Mel-Frequency Cepstral Coefficients) to classify the babies crying. The results of this study indicate the superiority of the proposed method compared to the other previous methods. This method could achieve the highest accuracy in the classification of newborns crying among the previous studies. Developing methods for classification audio signal analysis are promising and can be effectively applied in different areas such as babies cry...
Background Globally, transport and unintentional injuries persist as leading preventable causes o... more Background Globally, transport and unintentional injuries persist as leading preventable causes of mortality and morbidity for adolescents. We sought to report comprehensive trends in injury-related mortality and morbidity for adolescents aged 10-24 years during the past three decades. Methods Using the Global Burden of Disease, Injuries, and Risk Factors 2019 Study, we analysed mortality and disability-adjusted life-years (DALYs) attributed to transport and unintentional injuries for adolescents in 204 countries. Burden is reported in absolute numbers and age-standardised rates per 100 000 population by sex, age group (10-14, 15-19, and 20-24 years), and sociodemographic index (SDI) with 95% uncertainty intervals (UIs). We report percentage changes in deaths and DALYs between 1990 and 2019. Findings In 2019, 369 061 deaths (of which 214 337 [58%] were transport related) and 31•1 million DALYs (of which 16•2 million [52%] were transport related) among adolescents aged 10-24 years were caused by transport and unintentional injuries combined. If compared with other causes, transport and unintentional injuries combined accounted for 25% of deaths and 14% of DALYs in 2019, and showed little improvement from 1990 when such injuries accounted for 26% of adolescent deaths and 17% of adolescent DALYs. Throughout adolescence, transport and unintentional injury fatality rates increased by age group. The unintentional injury burden was higher among males than females for all injury types, except for injuries related to fire, heat, and hot substances, or to adverse effects of medical treatment. From 1990 to 2019, global mortality rates declined by 34•4% (from 17•5 to 11•5 per 100 000) for transport injuries, and by 47•7% (from 15•9 to 8•3 per 100 000) for unintentional injuries. However, in low-SDI nations the absolute number of deaths increased (by 80•5% to 42 774 for transport injuries and by 39•4% to 31 961 for unintentional injuries). In the high-SDI quintile in 2010-19, the rate per 100 000 of transport injury DALYs was reduced by 16•7%, from 838 in 2010 to 699 in 2019. This was a substantially slower pace of reduction compared with the 48•5% reduction between 1990 and 2010, from 1626 per 100 000 in 1990 to 838 per 100 000 in 2010. Between 2010 and 2019, the rate of unintentional injury DALYs per 100 000 also remained largely unchanged in high-SDI countries (555 in 2010 vs 554 in 2019; 0•2% reduction). The number and rate of adolescent deaths and DALYs owing to environmental heat and cold exposure increased for the high-SDI quintile during 2010-19. Interpretation As other causes of mortality are addressed, inadequate progress in reducing transport and unintentional injury mortality as a proportion of adolescent deaths becomes apparent. The relative shift in the burden of injury from high-SDI countries to low and low-middle-SDI countries necessitates focused action, including global donor, government, and industry investment in injury prevention. The persisting burden of DALYs related to transport and unintentional injuries indicates a need to prioritise innovative measures for the primary prevention of adolescent injury. Funding Bill &amp; Melinda Gates Foundation.
Introduction: In order to better designing of electronic health record system in Iran, integratio... more Introduction: In order to better designing of electronic health record system in Iran, integration of health information systems based on a common language must be done to interpret and exchange this information with this system is required. Background: This study provides a conceptual model of radiology reporting system using unified modeling language. The proposed model can solve the problem of integration this information system with the electronic
Hospital Information System (HIS) is an integrated Information System (IS) designed to enhance cl... more Hospital Information System (HIS) is an integrated Information System (IS) designed to enhance clinical, financial and administrative functions of a hospital. HIS is vital to the healthcare sector especially in public hospitals as they need to serve the public with high-quality healthcare services. Therefore, it is important to investigate the adoption of HIS in public hospitals. The aim of this study is to provide a literature review of adoption theories (Technology Organization Environment Framework, Institutional Theory and Human Organization Technology Fit Model) in IS domains and potential factors that influencing adoption of HIS framework in public hospitals with emphasis on organizational context perspective.
World Academy of Science, Engineering and Technology, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 2016
Original Article Received: 15 Dec 2017 Accepted: 19 Feb 2018 Introduction: In modern medicine, la... more Original Article Received: 15 Dec 2017 Accepted: 19 Feb 2018 Introduction: In modern medicine, large amounts of data are produced. However, there is always a gap between their collection and their understanding and interpretation. In this way, minimal data sets are prepared. Thalassemia major is a chronic genetic disorder of the blood and the most common genetic disorder in the world. Thus, the purpose of this study was to define a set for personal health of patients with major thalassemia. Methods: This present applied research was done descriptively in a cross-sectional manner by Delphi method. To determine the dataset, the manual health records of thalassemia major patients were first evaluated based on the standard paper forms of the Ministry of Health, and the data required were collected according to the checklist. The questionnaire was first reviewed by a team of six experts in the field. Its content validity was determined by the team and its reliability by Cronbach's al...
Background: Today, despite the many advances in early detection of diseases, cancer patients have... more Background: Today, despite the many advances in early detection of diseases, cancer patients have a poor prognosis and the survival rates in them are low. Recently, microarray technologies have been used for gathering thousands data about the gene expression level of cancer cells. These types of data are the main indicators in survival prediction of cancer. This study highlights the improvement of survival prediction based on gene expression data by using machine learning techniques in cancer patients. Methods: This review article was conducted by searching articles between 2000 to 2016 in scientific databases and e-Journals. We used keywords such as machine learning, gene expression data, survival and cancer. Results: Studies have shown the high accuracy and effectiveness of gene expression data in comparison with clinical data in survival prediction. Because of bewildering and high volume of such data, studies have highlighted the importance of machine learning algorithms such as ...
World Academy of Science, Engineering and Technology, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 2016
INTRODUCTION: The development of information technology (IT) in education has led to the expansio... more INTRODUCTION: The development of information technology (IT) in education has led to the expansion of new teaching and learning methods at universities. Implementation of E-learning programs at Iran's universities as well as assessing the prerequisites and level of preparation of learners to attend E-learning environments require extensive study. Therefore, this study examined to investigate the challenges of E-learning system at Tehran University of Medical Sciences. METHODOLOGY: This study was a descriptive and cross-sectional one that conducted in 2016_2017. The statistical populations were all of the students that have an E-learning course in Tehran University of Medical Sciences, from whom, 300 were selected to participate in the study using a stratified random sampling method. The tool of the study was a researcher-made questionnaire. The data were analyzed through SPSS software. RESULTS: According to the findings of this study, about half of the participants (40%) had pro...
Background The present study aimed to determine the prevalence of work-related musculoskeletal sy... more Background The present study aimed to determine the prevalence of work-related musculoskeletal symptoms (WMSs), identify potential factors associated with WMSs, and determine the association between WMSs and fatigue among nurses. Methods This cross-sectional study was carried out among 500 Iranian nurses. Data was gathered by the 1) Persian version of the Nordic musculoskeletal questionnaire (P-NMQ) to examine WMSs, and 2) Persian version of the Multidimensional Assessment of Fatigue (P-MAF) Scale to evaluate fatigue among the study population. Then, data was analyzed by SPSS version 21 using the χ2 test, multiple logistic regression for detection of potential factors associated with WMSs, and multiple linear regression for detection of potential factors associated with fatigue. Results Ankles/feet, lower back, knees, and shoulders had the highest prevalence of WMSs among nurses within the last 12 months prior to the study. Independent variables including age, job tenure, gender, sm...
BACKGROUND AND AIM : Oral squamous cell carcinoma (OSCC) is a rapidly progressive disease and des... more BACKGROUND AND AIM : Oral squamous cell carcinoma (OSCC) is a rapidly progressive disease and despite the progress in the treatment of cancer, remains a life-threatening illness with a poor prognosis. Diagnostic techniques of the oral cavity are not painful, non-invasive, simple and inexpensive methods. Clinical decision support systems (CDSSs) are the most important diagnostic technologies used to help health professionals to analyze patients’ data and make decisions. This paper, by studying CDSS applications in the process of providing care for the cancer patients, has looked into the CDSS potentials in OSCC diagnosis. METHODS : We retrieved relevant articles indexed in MEDLINE/PubMed database using high-quality keywords. First the title and then the abstract of the related articles were reviewed in the step of screening. Only research articles which had designed clinical decision support system in different stages of providing care for the cancer patient were retained in this stu...
Introduction and goal to background Due to the importance of segmentation of MRI images in identi... more Introduction and goal to background Due to the importance of segmentation of MRI images in identifying brain tumors, various methods including deep learning have been introduced for automatic brain tumor segmentation. On the other hand, using a combination of methods can improve their performance. Among them is the use of wavelet transform as an auxiliary element in deep networks. The analysis of the requirements of such combinations has been addressed in this study. Method In this developmental study, different wavelet functions were used to compress brain MRI images and finally as an auxiliary element in improving the performance of the convolutional neural network in brain tumor segmentation. Results Based on the results of the tests performed, the Daubechies1 function was most effective in enhancing network performance in segmenting MRI images and was able to balance the performance and computational overload. Conclusion Choosing the wavelet function to optimize the performance ...
Automated data analysis and pattern recognition techniques are the requirements of biological and... more Automated data analysis and pattern recognition techniques are the requirements of biological and proteomicsresearch studies. The analysis of proteins consists of some stages among which the analysis of two dimensionalelectrophoresis (2-DE) images is crucial. The aim of image capturing is to generate a Photostat that can be used infuture works such as image comparison. The researchers introduced a new method for matching two 2-DE gelimages. In this method, a neighborhood circular region is defined to obtain information about spots’ neighbors. Inthe present paper, the information obtained by this region is reordered into a matrix as a descriptor of the neighborsof each spot. The matrix is then used in matching the spots between two images. All conducted tests to evaluate themethod’s performance showed the power of the method in spot matching, even when the number of candidatematching spots in the second images increased. The proposed method provides a robust automatic comparison idea...
2018 2nd National and 1st International Digital Games Research Conference: Trends, Technologies, and Applications (DGRC)
According to the American Psychiatry Association, Attention deficit hyperactivity disorder (ADHD)... more According to the American Psychiatry Association, Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in the childhood. Considering the importance of cognitive approaches to rehab such a disorder, the purpose of the present study is to design a clinical decision support system to propose suitable computerized cognitive rehabilitation programs. At first, the scores of parameters of attention and response control in the IVA test were extracted. Then, by interviewing with experts and analyzing the results, a set of computerized cognitive rehabilitation programs (Captain Log, Lumosity, Maghzine) to empower attention and response control parameters were selected, modeled and implemented as if-then rules. To design and implement the system, the MATLAB (2016 b) programming environment was used. Designed clinical decision support system was able to provide computerized cognitive rehabilitation programs with regard to defective attention and response control parameters. It could help therapists and psychiatrists to improve the symptoms and rehab the children and adolescents with Attention deficit hyperactivity disorder.
Change in cortisol affects brain EEG signals. So, the identification of the significant EEG featu... more Change in cortisol affects brain EEG signals. So, the identification of the significant EEG features which are sensitized to cortisol concentration was the aim of the present study. From 468 participated healthy subjects, the salivary samples were taken to test the cortisol concentration and EEG signal recording was done simultaneously. Then, the subjects were categorized into three classes based on the salivary cortisol concentration (<5, 5–15 and >15 nmol/l). Some linear and nonlinear features extracted and finally, in order to investigate the relationship between cortisol level and EEG features, the following steps were taken on features in sequence: Genetic Algorithm, Neighboring Component Analysis, polyfit, artificial neural network and support vector machine classification. Two classifications were considered as following: state 1 categorized the subjects into three groups (three classes) and the second state put them into two groups (group 1: class 1 and 3, group 2: cla...
Cry as the only way of communication of babies with the surrounding environment can be happened f... more Cry as the only way of communication of babies with the surrounding environment can be happened for many reasons such as diseases, suffocation, hunger, cold and heat feeling, pain and etc. So, the analysis and detection of its source are very important for parents and health care providers. So the present study designed with the aim to test the performance of neural networks in the identification of the source of babies crying. The present study combines the genetic algorithm and artificial neural network with (Linear Predictive Coding) LPC and MFCC (Mel-Frequency Cepstral Coefficients) to classify the babies crying. The results of this study indicate the superiority of the proposed method compared to the other previous methods. This method could achieve the highest accuracy in the classification of newborns crying among the previous studies. Developing methods for classification audio signal analysis are promising and can be effectively applied in different areas such as babies cry...
Uploads
Papers by Azadeh Bashiri