Pub Date : 2022-07-28DOI: 10.4025/actascitechnol.v44i1.60535
K. Queiroz, M. C. Araújo, Hugo Dourado, R. C. Lima
Infrared thermography is a potential method to improve efficiency for early detection of breast cancer. This technique does not use ionizing radiation and is feasible for screening in men and for detecting changes in young women. In this study, ninety-eight infrared images were used to create a database to develop a computer-aided diagnosis system. Typically, this kind of system is associated with graphical interfaces to facilitate users’ work. In this study, the computer-aided diagnosis was implemented based on statistical classifiers for analysis of four classes: Malignant Tumor, Benign Tumor, Cyst and Healthy. The region of interest was segmented in automatic and semiautomatic ways, which is respectively associated with the Support Vector Machine classifier and Mahalanobis classifier. To evaluate the performance of the proposed classifiers, a confusion matrix was applied to each result obtained. Using the proposed GUI-CAD tool, it was possible to carry out individual and unsupervised classification of patients, with 93% sensitivity.
{"title":"GUI-CAD Tool to assist the multiclass classification of mammary pathologies by infrared images","authors":"K. Queiroz, M. C. Araújo, Hugo Dourado, R. C. Lima","doi":"10.4025/actascitechnol.v44i1.60535","DOIUrl":"https://doi.org/10.4025/actascitechnol.v44i1.60535","url":null,"abstract":"Infrared thermography is a potential method to improve efficiency for early detection of breast cancer. This technique does not use ionizing radiation and is feasible for screening in men and for detecting changes in young women. In this study, ninety-eight infrared images were used to create a database to develop a computer-aided diagnosis system. Typically, this kind of system is associated with graphical interfaces to facilitate users’ work. In this study, the computer-aided diagnosis was implemented based on statistical classifiers for analysis of four classes: Malignant Tumor, Benign Tumor, Cyst and Healthy. The region of interest was segmented in automatic and semiautomatic ways, which is respectively associated with the Support Vector Machine classifier and Mahalanobis classifier. To evaluate the performance of the proposed classifiers, a confusion matrix was applied to each result obtained. Using the proposed GUI-CAD tool, it was possible to carry out individual and unsupervised classification of patients, with 93% sensitivity.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"60 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85535411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-28DOI: 10.4025/actascitechnol.v44i1.60187
Vagno França Hajj, A. P. Lopes, J. Visentainer, M. E. Petenuci, G. Fonseca
Jackfruit seeds are usually discarded as waste. Therefore, this work aimed at obtaining the Jackfruit seeds flour of two varieties (soft and firm) from Brazilian Midwest and to evaluate its physicochemical characteristics, mineral and fatty acids composition (FA). Seeds were dried at 45°C for 72h and ground (40-mesh). Both flours revealed high protein content, varying from 13.43% to 16.28%. It also revealed excellent insoluble fibers (4.16% for soft Jackfruit seeds flour [SJF] and 4.68% for firm Jackfruit seeds flours [FJF]) content. Plus, it was good sources of minerals, especially magnesium (approximately 200 mg 100g-1). Oleic acid was predominant in FJF (47.03%) and linoleic acid (30.81%) in SJF. The flour from both seeds presented minor contents of acid α-linolenic acid (approximately 5%). Consequently, both seeds flours are strongly indicated for formulating new food products, improving its nutritional value and promoting beneficial effects on human health.
{"title":"Physicochemical properties, mineral and fatty acids composition of Jackfruit seeds flour of two varieties from Brazilian Midwest","authors":"Vagno França Hajj, A. P. Lopes, J. Visentainer, M. E. Petenuci, G. Fonseca","doi":"10.4025/actascitechnol.v44i1.60187","DOIUrl":"https://doi.org/10.4025/actascitechnol.v44i1.60187","url":null,"abstract":"Jackfruit seeds are usually discarded as waste. Therefore, this work aimed at obtaining the Jackfruit seeds flour of two varieties (soft and firm) from Brazilian Midwest and to evaluate its physicochemical characteristics, mineral and fatty acids composition (FA). Seeds were dried at 45°C for 72h and ground (40-mesh). Both flours revealed high protein content, varying from 13.43% to 16.28%. It also revealed excellent insoluble fibers (4.16% for soft Jackfruit seeds flour [SJF] and 4.68% for firm Jackfruit seeds flours [FJF]) content. Plus, it was good sources of minerals, especially magnesium (approximately 200 mg 100g-1). Oleic acid was predominant in FJF (47.03%) and linoleic acid (30.81%) in SJF. The flour from both seeds presented minor contents of acid α-linolenic acid (approximately 5%). Consequently, both seeds flours are strongly indicated for formulating new food products, improving its nutritional value and promoting beneficial effects on human health.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"10 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79364047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-28DOI: 10.4025/actascitechnol.v44i1.61112
Mahdi H. Miraz, Maaruf Ali, P. Excell
With the widespread purchase of mobile communication devices and their extensive usage in every aspect of life, allied with global mobility and market penetration – a more culturally universally adaptable interface has become a priority. This pliable interface must conform continuously with the changing abilities of the end user and the person’s culture, irrespective of the prevailing ambient culture. The information required to customise this interface must be derived from the user’s actual digital footprint and not on their feedback. This treatise presents the usability evaluation results of a culturally inclusive and ubiquitous mobile learning (M-Learning) platform (‘Mobile Academy’), with an AI-based adaptive user interface which takes the snapshot of the installed apps on a smartphone as input, predicts the user’s cultural affiliation as well as the language preference and thus offer a culturally customised user interface as the output. The proof of concept (PoC) prototype has been developed based on the CIAUI (Culturally Inclusive Adaptive User Interface) framework, using plasticity of user interface techniques. This approach was taken to test the affordability of developing inclusive applications, considering the ever growing large global culturally diverse user base. Usability evaluation was then conducted and the results carefully analysed. The results indicated that the PoC exhibited enhanced cross-cultural usability and affordability of such techniques. The evaluation results of the PoC also advocates in favour of the user’s cultural profiling based on the mobile usage data, particularly a single snapshot of installed apps. The research provides direction for future research and application development.
{"title":"Cross-cultural usability evaluation of AI-based adaptive user interface for mobile applications","authors":"Mahdi H. Miraz, Maaruf Ali, P. Excell","doi":"10.4025/actascitechnol.v44i1.61112","DOIUrl":"https://doi.org/10.4025/actascitechnol.v44i1.61112","url":null,"abstract":"With the widespread purchase of mobile communication devices and their extensive usage in every aspect of life, allied with global mobility and market penetration – a more culturally universally adaptable interface has become a priority. This pliable interface must conform continuously with the changing abilities of the end user and the person’s culture, irrespective of the prevailing ambient culture. The information required to customise this interface must be derived from the user’s actual digital footprint and not on their feedback. This treatise presents the usability evaluation results of a culturally inclusive and ubiquitous mobile learning (M-Learning) platform (‘Mobile Academy’), with an AI-based adaptive user interface which takes the snapshot of the installed apps on a smartphone as input, predicts the user’s cultural affiliation as well as the language preference and thus offer a culturally customised user interface as the output. The proof of concept (PoC) prototype has been developed based on the CIAUI (Culturally Inclusive Adaptive User Interface) framework, using plasticity of user interface techniques. This approach was taken to test the affordability of developing inclusive applications, considering the ever growing large global culturally diverse user base. Usability evaluation was then conducted and the results carefully analysed. The results indicated that the PoC exhibited enhanced cross-cultural usability and affordability of such techniques. The evaluation results of the PoC also advocates in favour of the user’s cultural profiling based on the mobile usage data, particularly a single snapshot of installed apps. The research provides direction for future research and application development.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"21 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79403642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-28DOI: 10.4025/actascitechnol.v44i1.60486
Liang-Ching Chen, Kuei-Hu Chang, Shu-Ching Yang
Within the modern information, communication and technology (ICT), seeking high efficient and accurate corpus-based approaches to process natural language data (NLD) is critical. Traditional corpus-based approaches for processing corpus (i.e. the collected NLD) mainly focused on quantifying and ranking words for assisting human in extracting keywords. However, traditional corpus-based approaches cannot identify the meanings behind the words to properly extract terminologies nor their information. To address this issue, the main objective of this paper is to propose an integrated linguistic analysis approach that combines two corpus-based approaches and a rule-based natural language processing (NLP) approach to extract and identify terminologies and create the text database for extracting deeper domain-oriented information by using the terminologies as channels to retrieve core information from the target corpus. Military domain is an uncommon research field and often classified as confidential data, which caused little researches to focus on. Nevertheless, military information is vital to national security and should not be ignored. Hence, to verify the proposed approach in extracting terminologies and information of the terminologies, the researchers adopt the US Army field manual (FM) 8-10-6 as the target corpus and empirical case. Compared with AntConc 3.5.8 and Tongpoon-Patanasorn’s hybrid approach, the results indicate that from the perspectives of terminology identification, texts database creation, domain knowledge extraction, only the proposed approach can handle all these issues.
{"title":"Integrating corpus-based and NLP approach to extract terminology and domain-oriented information: an example of US military corpus","authors":"Liang-Ching Chen, Kuei-Hu Chang, Shu-Ching Yang","doi":"10.4025/actascitechnol.v44i1.60486","DOIUrl":"https://doi.org/10.4025/actascitechnol.v44i1.60486","url":null,"abstract":"Within the modern information, communication and technology (ICT), seeking high efficient and accurate corpus-based approaches to process natural language data (NLD) is critical. Traditional corpus-based approaches for processing corpus (i.e. the collected NLD) mainly focused on quantifying and ranking words for assisting human in extracting keywords. However, traditional corpus-based approaches cannot identify the meanings behind the words to properly extract terminologies nor their information. To address this issue, the main objective of this paper is to propose an integrated linguistic analysis approach that combines two corpus-based approaches and a rule-based natural language processing (NLP) approach to extract and identify terminologies and create the text database for extracting deeper domain-oriented information by using the terminologies as channels to retrieve core information from the target corpus. Military domain is an uncommon research field and often classified as confidential data, which caused little researches to focus on. Nevertheless, military information is vital to national security and should not be ignored. Hence, to verify the proposed approach in extracting terminologies and information of the terminologies, the researchers adopt the US Army field manual (FM) 8-10-6 as the target corpus and empirical case. Compared with AntConc 3.5.8 and Tongpoon-Patanasorn’s hybrid approach, the results indicate that from the perspectives of terminology identification, texts database creation, domain knowledge extraction, only the proposed approach can handle all these issues.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"67 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77891346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-28DOI: 10.4025/actascitechnol.v44i1.61181
Safiye Pelin Taş, Sezin Barın, Gür Emre Güraksın
The retina is an eye layer that incorporates light- and color-sensitive cells as well as nerve fibers. It collects light and distributes it to the brain for image processing through the use of the optic nerve. Diseases that end up causing vision loss and blindness are generated by retinal ailments. As a result, it is imperative to diagnose and treat certain disorders as early as possible. Optical coherence tomography (OCT), an angiography imaging technique, is operated to help diagnose retinal disorders. Deep learning approaches, which are extensively utilized, have now become a convenient way for diagnosing retinal illnesses through OCT images as a result of their effective outcomes in interpreting medical images. To diagnose retinal disorders utilizing OCT scans, this investigation developed a hybrid methodology based on image pre-processing and convolutional neural networks (CNNs) (a deep learning method). Image pre-processing techniques including background filling, resizing, noise reduction, and highlighting are exercised at the pre-processing stage. The segmentation process provides a new CNN architecture with five convolution layers that does have a low computational cost. Compared to other publications using the same data set, the proposed method seems to have a success rate of 99.48 percent in the detection of retinal disorders, closing a significant gap in the literature. The proposed approach has the advantage of maintaining low computing costs in comparison to other studies in the literature. When the conclusions are regarded, it is noticed that the suggested method might be exerted as a decision support system to assist physicians in the clinical context during the diagnosis of retinal disorders.
{"title":"Detection of retinal diseases from ophthalmological images based on convolutional neural network architecture","authors":"Safiye Pelin Taş, Sezin Barın, Gür Emre Güraksın","doi":"10.4025/actascitechnol.v44i1.61181","DOIUrl":"https://doi.org/10.4025/actascitechnol.v44i1.61181","url":null,"abstract":"The retina is an eye layer that incorporates light- and color-sensitive cells as well as nerve fibers. It collects light and distributes it to the brain for image processing through the use of the optic nerve. Diseases that end up causing vision loss and blindness are generated by retinal ailments. As a result, it is imperative to diagnose and treat certain disorders as early as possible. Optical coherence tomography (OCT), an angiography imaging technique, is operated to help diagnose retinal disorders. Deep learning approaches, which are extensively utilized, have now become a convenient way for diagnosing retinal illnesses through OCT images as a result of their effective outcomes in interpreting medical images. To diagnose retinal disorders utilizing OCT scans, this investigation developed a hybrid methodology based on image pre-processing and convolutional neural networks (CNNs) (a deep learning method). Image pre-processing techniques including background filling, resizing, noise reduction, and highlighting are exercised at the pre-processing stage. The segmentation process provides a new CNN architecture with five convolution layers that does have a low computational cost. Compared to other publications using the same data set, the proposed method seems to have a success rate of 99.48 percent in the detection of retinal disorders, closing a significant gap in the literature. The proposed approach has the advantage of maintaining low computing costs in comparison to other studies in the literature. When the conclusions are regarded, it is noticed that the suggested method might be exerted as a decision support system to assist physicians in the clinical context during the diagnosis of retinal disorders.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"19 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81851965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-28DOI: 10.4025/actascitechnol.v44i1.60179
E. A. Bolandim, Renato Silva Nicoletti, A. Rossi, Alex Sander Clemente de Souza
The growing problems of excessive vibration in steel structures due to human rhythmic activities and vibrating machinery have led to the need for increasingly rigorous dynamic analysis in order to verify excessive displacements and ensure the users’ comfort. The present work aimed to carry out, via numerical simulation in ANSYS Mechanical APDL software, static, modal and harmonic analysis in steel frames with two floors and two bays in order to investigate the influence of the connection’s stiffness on the behavior of the structure. The results obtained showed that the natural frequency value of the models increases as the stiffness of the beam-column connections is increased. However, due to the harmonic analysis performed, it was not possible to delineate a behavior between the stiffness of the connections and the amplification.
{"title":"Influence of connection stiffness on static-dynamic behavior of steel frames","authors":"E. A. Bolandim, Renato Silva Nicoletti, A. Rossi, Alex Sander Clemente de Souza","doi":"10.4025/actascitechnol.v44i1.60179","DOIUrl":"https://doi.org/10.4025/actascitechnol.v44i1.60179","url":null,"abstract":"The growing problems of excessive vibration in steel structures due to human rhythmic activities and vibrating machinery have led to the need for increasingly rigorous dynamic analysis in order to verify excessive displacements and ensure the users’ comfort. The present work aimed to carry out, via numerical simulation in ANSYS Mechanical APDL software, static, modal and harmonic analysis in steel frames with two floors and two bays in order to investigate the influence of the connection’s stiffness on the behavior of the structure. The results obtained showed that the natural frequency value of the models increases as the stiffness of the beam-column connections is increased. However, due to the harmonic analysis performed, it was not possible to delineate a behavior between the stiffness of the connections and the amplification.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"27 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86670942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Numerical simulations have been widely used in the industry, although with some limitations. One of these limitations is the fact that the thermal effects derived from component manufacturing processes are normally disregarded in the analysis. Thus, the main goal of this study is to evaluate strains near the weld beads of a geometric model for a truck tow hook using numerical simulations by finite element method, considering thermal loads applied before the field loading. To validate the simulation results, an experiment was performed using a tow hook found in a commercial truck. Strain gauge rosettes were placed on the body base plate, and a load of 181.050 N was applied to the hook. This loading was the result of a commercial truck being pulled on level terrain, simulating a normal operation condition of the tow hook. The Von Mises stress found in simulations was approximately 302.23 MPa at the same position where the strain gauges were glued, when the load was applied. The difference between the simulated and experimental values of the equivalent specific strains in the area of the weld beads was 19.2%, and the difference between the permanent displacement values, resulting from plastic strain, in the X-direction was 0.1%. These results justify conducting new studies involving numerical simulations and considering thermal effects on static and dynamic loads in the automotive industry.
{"title":"Stress-strain analysis of the tow hook of a commercial truck by numerical simulations","authors":"Alexandre Assis Rezende Santos, Leomar Santos Marques, M.V.T. de Moura, Ricardo Rodrigues Magalhães","doi":"10.4025/actascitechnol.v44i1.60577","DOIUrl":"https://doi.org/10.4025/actascitechnol.v44i1.60577","url":null,"abstract":"Numerical simulations have been widely used in the industry, although with some limitations. One of these limitations is the fact that the thermal effects derived from component manufacturing processes are normally disregarded in the analysis. Thus, the main goal of this study is to evaluate strains near the weld beads of a geometric model for a truck tow hook using numerical simulations by finite element method, considering thermal loads applied before the field loading. To validate the simulation results, an experiment was performed using a tow hook found in a commercial truck. Strain gauge rosettes were placed on the body base plate, and a load of 181.050 N was applied to the hook. This loading was the result of a commercial truck being pulled on level terrain, simulating a normal operation condition of the tow hook. The Von Mises stress found in simulations was approximately 302.23 MPa at the same position where the strain gauges were glued, when the load was applied. The difference between the simulated and experimental values of the equivalent specific strains in the area of the weld beads was 19.2%, and the difference between the permanent displacement values, resulting from plastic strain, in the X-direction was 0.1%. These results justify conducting new studies involving numerical simulations and considering thermal effects on static and dynamic loads in the automotive industry.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"21 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73205647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-28DOI: 10.4025/actascitechnol.v44i1.59876
D. C. Souza, A. Martinez, A. Peron, S. Froehner
The use of plants to eliminate organic or inorganic compounds is one of the alternatives for environmental treatment, but to guarantee the efficiency of process is necessary to know the effects in plant metabolism. This study sought to evaluate the enzymatic mechanism involved in the protection of the metabolism of Pontederia parviflora Alexander caused chromium absorption stress. The experiment was carried with solution of chromium (III) in three concentrations (10, 50 and 100 ppm) in the period of four days and evaluations daily. The concentration of chromium in the solution influenced the form of storage of metal in the tissues of plants. In 24 hours, there was increase of glutathione in the root in 10ppm solution and in 50 and 100 ppm the accumulation of glutathione occurs in the stem, coinciding with the peak absorption metal (48 hours). The activity of the catalase was higher in the roots, the peroxidase showed higher activity at the 50 ppm concentration, and the guaiacol had similar activity to catalase. The tolerance of P. parviflora in response to chromium stress occur for complex mechanisms, phytohormone-producing as significantly regulated under Cr stress and the formation of phytoquelatins was in sync with the absorption of metal. Due to the tolerance shown by P. parviflora, it becomes important for the environmental treatment of contaminated water.
{"title":"Physiological response of the protective enzymatic mechanism of Pontederia parviflora Alexander caused by chromium absorption stress","authors":"D. C. Souza, A. Martinez, A. Peron, S. Froehner","doi":"10.4025/actascitechnol.v44i1.59876","DOIUrl":"https://doi.org/10.4025/actascitechnol.v44i1.59876","url":null,"abstract":"The use of plants to eliminate organic or inorganic compounds is one of the alternatives for environmental treatment, but to guarantee the efficiency of process is necessary to know the effects in plant metabolism. This study sought to evaluate the enzymatic mechanism involved in the protection of the metabolism of Pontederia parviflora Alexander caused chromium absorption stress. The experiment was carried with solution of chromium (III) in three concentrations (10, 50 and 100 ppm) in the period of four days and evaluations daily. The concentration of chromium in the solution influenced the form of storage of metal in the tissues of plants. In 24 hours, there was increase of glutathione in the root in 10ppm solution and in 50 and 100 ppm the accumulation of glutathione occurs in the stem, coinciding with the peak absorption metal (48 hours). The activity of the catalase was higher in the roots, the peroxidase showed higher activity at the 50 ppm concentration, and the guaiacol had similar activity to catalase. The tolerance of P. parviflora in response to chromium stress occur for complex mechanisms, phytohormone-producing as significantly regulated under Cr stress and the formation of phytoquelatins was in sync with the absorption of metal. Due to the tolerance shown by P. parviflora, it becomes important for the environmental treatment of contaminated water.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"47 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85569795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-28DOI: 10.4025/actascitechnol.v44i1.59237
Krsto Jakšić, Ivana Milošević, B. Jaksic, Vladimir Maksimovic, J. Todorovic
This work deals with the structure of TV channels that are distributed from satellite positions where DTH platforms offer their services in European countries. The structure is being considered via service availability (FTA and PAY TV), resolution (SDTV, HDTV and UHDTV), standards of broadcasting (DVB-S and DVB-S2), satellites and satellite positions, as well as market share of leading satellite operators at European market through which DTH providers do their services to the ultimate users. We also represent the market of TV channel distribution through the number of household which use cable, satellite, terrestrial and IPTV. Collected data are represented as a table and graph for the period from 1996 to 2020.
{"title":"Structure and share of satellite TV channels and DTH platforms in Europe","authors":"Krsto Jakšić, Ivana Milošević, B. Jaksic, Vladimir Maksimovic, J. Todorovic","doi":"10.4025/actascitechnol.v44i1.59237","DOIUrl":"https://doi.org/10.4025/actascitechnol.v44i1.59237","url":null,"abstract":"This work deals with the structure of TV channels that are distributed from satellite positions where DTH platforms offer their services in European countries. The structure is being considered via service availability (FTA and PAY TV), resolution (SDTV, HDTV and UHDTV), standards of broadcasting (DVB-S and DVB-S2), satellites and satellite positions, as well as market share of leading satellite operators at European market through which DTH providers do their services to the ultimate users. We also represent the market of TV channel distribution through the number of household which use cable, satellite, terrestrial and IPTV. Collected data are represented as a table and graph for the period from 1996 to 2020.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":"24 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81671162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-28DOI: 10.4025/actascitechnol.v44i1.60386
B. R. Oliveira, M. A. Q. Duarte, J. Vieira Filho
Premature Ventricular Contractions (PVC) arrhythmias can be associated with sudden death and acute myocardial infarction, occurring in 50% of the population for Holter monitoring. PVC patterns are very hard to be recognized since their waveforms can be confused with other heartbeats, such as Right and Left Bundle Branch Blocks. This work proposes a new approach for PVC recognition, based on Gaussian Naive Bayes algorithm and AMUSE (Algorithm for Multiple Unknown Signal Extraction), which is a method for the blind source separation problem. This approach provides a set of attributes that are combined by Linear Discriminant Analysis, allowing the training of an ensemble learning. The Analytic Hierarchy Process weights each learned model according to its importance, obtained from the performance metrics. This approach has some advantages over baseline methods since it does not use a pre-processing stage and employs a simple machine learning model trained using only two parameters for each feature. Using a standard dataset for training and test phases, the proposed approach achieves 98.75% accuracy, 90.65% sensitivity, and 99.46% specificity. The best performance was 99.57% accuracy, 98.64% sensitivity, and 99.65% specificity for other datasets. In general, the proposed approach is better than 66% of the state-of-the-art methods concerning accuracy
室性早搏(PVC)心律失常可与猝死和急性心肌梗死相关，发生在50%的动态心电图监测人群中。PVC模式很难识别，因为它们的波形可能与其他心跳相混淆，例如右束和左束分支块。本文提出了一种基于高斯朴素贝叶斯算法和AMUSE (algorithm for Multiple Unknown Signal Extraction)的PVC识别新方法，该方法是一种针对盲源分离问题的方法。这种方法提供了一组由线性判别分析组合的属性，允许集成学习的训练。层次分析法根据从性能指标中得到的重要程度对每个学习模型进行加权。这种方法比基线方法有一些优点，因为它不使用预处理阶段，并且使用简单的机器学习模型，每个特征只使用两个参数进行训练。使用训练和测试阶段的标准数据集，该方法达到98.75%的准确率，90.65%的灵敏度和99.46%的特异性。在其他数据集上，准确率为99.57%，灵敏度为98.64%，特异性为99.65%。总的来说，所提出的方法在准确性方面优于66%的最先进的方法
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