Pub Date : 2021-03-30DOI: 10.46300/91011.2021.15.7
P. Kumari, J. Seventline
The application of signal processing techniques for identification of exons in Deoxyribonucleic acid (DNA) sequence is a challenging task. The objective of this paper is to introduce a combinational window approach for locating exons in DNA sequence. In contrast to the traditional single window function for evaluation of short time Fourier transform (STFT), this work proposes a novel method for evaluating STFT coefficients using a combinational window function comprising of Gaussian, Lanczos and Chebyshev (GLC) windows. The chosen combinational window GLC has the highest relative side lobe attenuation values compared to other window functions introduced by various researchers. The proposed algorithm incorporates GLC window function for evaluating STFT coefficients and in the design of FIR bandpass filter. Simulation results revealed its effectiveness in improving the evaluation parameters like Sensitivity, Specificity, Accuracy, Area under curve (AUC), Discrimination Measure (DM). Furthermore, the proposed algorithm has been applied successfully to some universal benchmark datasets like C. elegans, Homosapiens, etc., The proposed method has shown to be an efficient approach for the prediction of protein coding regions compared to other existing methods. All the simulations are done using the MATLAB 2016a.
{"title":"A Novel Approach For Identification Of Exon Locations In DNA Sequences Using GLC Window","authors":"P. Kumari, J. Seventline","doi":"10.46300/91011.2021.15.7","DOIUrl":"https://doi.org/10.46300/91011.2021.15.7","url":null,"abstract":"The application of signal processing techniques for identification of exons in Deoxyribonucleic acid (DNA) sequence is a challenging task. The objective of this paper is to introduce a combinational window approach for locating exons in DNA sequence. In contrast to the traditional single window function for evaluation of short time Fourier transform (STFT), this work proposes a novel method for evaluating STFT coefficients using a combinational window function comprising of Gaussian, Lanczos and Chebyshev (GLC) windows. The chosen combinational window GLC has the highest relative side lobe attenuation values compared to other window functions introduced by various researchers. The proposed algorithm incorporates GLC window function for evaluating STFT coefficients and in the design of FIR bandpass filter. Simulation results revealed its effectiveness in improving the evaluation parameters like Sensitivity, Specificity, Accuracy, Area under curve (AUC), Discrimination Measure (DM). Furthermore, the proposed algorithm has been applied successfully to some universal benchmark datasets like C. elegans, Homosapiens, etc., The proposed method has shown to be an efficient approach for the prediction of protein coding regions compared to other existing methods. All the simulations are done using the MATLAB 2016a.","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43943321","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 : 2021-02-17DOI: 10.46300/91011.2021.15.6
Smiti Tripathy, R. Sivakumar, S. Nair, T. Inbamalar
Nephrolithiasis (kidney stone) is a disease which affects 7% of females and 11% of males at some stage in their life. Early identification of Nephrolithiasis is necessary to avoid complications. Imaging techniques form the basis for the detection of kidney stones and aid in locating the position, size, and the number of stones present in the renal structure. This paper reports an extensive analysis of recent trends in the detection of Nephrolithiasis using Imaging techniques. Since Computed Tomography (CT) and ultrasound imaging are commonly used in the medical field, analysis of both the methods is considered in this paper. The detailed study on various methodologies and algorithms that have been adopted on CT and ultrasound images in recent years in locating kidney stones, finding the exact size of the stones based on pixel count, enhancing image quality, obtaining better de-speckling, faster segmentation, and pre-processing of the renal images has been carried out. Based on the analysis, an artificial intelligence-based approach is proposed that will aid the medical practitioner for faster, accurate detection of Nephrolithiasis and a technique to reduce the exposure of radiation in Computed Tomography Imaging. Further, it is concluded that ultrasound techniques can be employed subsequently for preliminary diagnosis through CT if the medical practitioner recommends.
{"title":"Analysis and Detection of Nephrolithiasis using Imaging Techniques","authors":"Smiti Tripathy, R. Sivakumar, S. Nair, T. Inbamalar","doi":"10.46300/91011.2021.15.6","DOIUrl":"https://doi.org/10.46300/91011.2021.15.6","url":null,"abstract":"Nephrolithiasis (kidney stone) is a disease which affects 7% of females and 11% of males at some stage in their life. Early identification of Nephrolithiasis is necessary to avoid complications. Imaging techniques form the basis for the detection of kidney stones and aid in locating the position, size, and the number of stones present in the renal structure. This paper reports an extensive analysis of recent trends in the detection of Nephrolithiasis using Imaging techniques. Since Computed Tomography (CT) and ultrasound imaging are commonly used in the medical field, analysis of both the methods is considered in this paper. The detailed study on various methodologies and algorithms that have been adopted on CT and ultrasound images in recent years in locating kidney stones, finding the exact size of the stones based on pixel count, enhancing image quality, obtaining better de-speckling, faster segmentation, and pre-processing of the renal images has been carried out. Based on the analysis, an artificial intelligence-based approach is proposed that will aid the medical practitioner for faster, accurate detection of Nephrolithiasis and a technique to reduce the exposure of radiation in Computed Tomography Imaging. Further, it is concluded that ultrasound techniques can be employed subsequently for preliminary diagnosis through CT if the medical practitioner recommends.","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45327444","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 : 2021-02-10DOI: 10.46300/91011.2021.15.5
Konstantinos Kousenidis, I. Giantsis, E. Karageorgiou, M. Avdi
Early and reliable diagnosis of pregnancy in sows is considered one of the most crucial parameters for the proper management in pig farming. Reproductive activity of the sows is directly correlated with the overall productivity of the enterprise. The best and most precise methodology to diagnose pregnancy in farm animals, including pigs, is ultrasonography. For getting optimal outputs of real-time ultrasonography application in pigs, both gestation status and litter size of sows is of high importance. Hence, a detailed evaluation and careful reading of the retrieved ultrasonic image could serve to the prediction of the sow’s litter size, providing valuable information to the producer. In the present article we studied the ultrasonic typification of sows in an effort to develop a methodology for the precise pregnancy diagnosis and the prediction of the litter size. To achieve this goal, 1214 matings and 1010 pregnancies were recorded and evaluated over a period of 20 months, in a pig unit in Northern Greece. Two thorough scans were performed on each sow, classifying the ultrasonic image in a scale of 0 to 10, 0 being ‘non pregnant’ and 10 given to the most reassuring image of pregnancy. Evaluations took place in a wide range of time since mating, hence between days 16 (the earliest first scan) and 68 (the latest that a second scan was performed) and the mean values obtained were 8,36 and 8,83 for the first and second scan respectively. Furthermore, the litter size of each subsequent parturition was recorded (mean: 12.22) and correlated to the score of each of the two scans performed during pregnancy. The results showed that more reassuring images and higher scores for both examinations of pregnancy were achieved with increasing time interval from mating (P<0.05). It is therefore suggested that a detailed real-time ultrasonic scanning, can provide a very useful tool, not only for pregnancy diagnosis, but also for the prediction of litter size and eventually the precise management of pregnant sows.
{"title":"Swine Ultrasonography Numerical Modeling for Pregnancy Diagnosis and Prediction of Litter Size","authors":"Konstantinos Kousenidis, I. Giantsis, E. Karageorgiou, M. Avdi","doi":"10.46300/91011.2021.15.5","DOIUrl":"https://doi.org/10.46300/91011.2021.15.5","url":null,"abstract":"Early and reliable diagnosis of pregnancy in sows is considered one of the most crucial parameters for the proper management in pig farming. Reproductive activity of the sows is directly correlated with the overall productivity of the enterprise. The best and most precise methodology to diagnose pregnancy in farm animals, including pigs, is ultrasonography. For getting optimal outputs of real-time ultrasonography application in pigs, both gestation status and litter size of sows is of high importance. Hence, a detailed evaluation and careful reading of the retrieved ultrasonic image could serve to the prediction of the sow’s litter size, providing valuable information to the producer. In the present article we studied the ultrasonic typification of sows in an effort to develop a methodology for the precise pregnancy diagnosis and the prediction of the litter size. To achieve this goal, 1214 matings and 1010 pregnancies were recorded and evaluated over a period of 20 months, in a pig unit in Northern Greece. Two thorough scans were performed on each sow, classifying the ultrasonic image in a scale of 0 to 10, 0 being ‘non pregnant’ and 10 given to the most reassuring image of pregnancy. Evaluations took place in a wide range of time since mating, hence between days 16 (the earliest first scan) and 68 (the latest that a second scan was performed) and the mean values obtained were 8,36 and 8,83 for the first and second scan respectively. Furthermore, the litter size of each subsequent parturition was recorded (mean: 12.22) and correlated to the score of each of the two scans performed during pregnancy. The results showed that more reassuring images and higher scores for both examinations of pregnancy were achieved with increasing time interval from mating (P<0.05). It is therefore suggested that a detailed real-time ultrasonic scanning, can provide a very useful tool, not only for pregnancy diagnosis, but also for the prediction of litter size and eventually the precise management of pregnant sows.","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43452180","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 : 2021-01-11DOI: 10.46300/91011.2021.15.3
Mayssa A. Traboulsi, A. Boussaid, Zainab El Alaoui Talibi
Worldwide, obesity has been shown to negatively affect women especially during pregnancy. In this work, a retrospective cohort study for 1308 women, who gave birth between 2014 and 2016 in public and private hospitals, was conducted to evaluate the impact of weight, demographic and lifestyle indicators on many pregnancy and fetal outcomes in Northern Lebanon. The frequent health complications related to pregnancy were cesarean-section (31.1%) followed by post-hemorrhage (25.1%), induced labor (23.5%) and macrosomia (11.4%). Multivariate analysis showed that the main complications were highly correlated to obesity, macrosomia, weight gain, multiparity and mother’s age. High values from adjusted odds ratios were mainly associated to obesity, multiparity and weight gain. Obese pregnant women had a significant increased risk of having cesarean-section (p<0.001), preeclampsia (p<0.0001), labor induction (p<0.0001) and postpartum hemorrhage (p<0.0001). Adverse fetal outcomes such as macrosomia were also correlated with high BMI (p<0.0001). The risk was even greater for multiparous, older women that carried excessive weight gain. There is therefore a need to increase awareness among the target population and encourage prevention of the dangers related to obesity and weight gain.
{"title":"Obesity and Lifestyle Indicators Impact on Obstetric Complications and Fetal Outcome in North Lebanon Population","authors":"Mayssa A. Traboulsi, A. Boussaid, Zainab El Alaoui Talibi","doi":"10.46300/91011.2021.15.3","DOIUrl":"https://doi.org/10.46300/91011.2021.15.3","url":null,"abstract":"Worldwide, obesity has been shown to negatively affect women especially during pregnancy. In this work, a retrospective cohort study for 1308 women, who gave birth between 2014 and 2016 in public and private hospitals, was conducted to evaluate the impact of weight, demographic and lifestyle indicators on many pregnancy and fetal outcomes in Northern Lebanon. The frequent health complications related to pregnancy were cesarean-section (31.1%) followed by post-hemorrhage (25.1%), induced labor (23.5%) and macrosomia (11.4%). Multivariate analysis showed that the main complications were highly correlated to obesity, macrosomia, weight gain, multiparity and mother’s age. High values from adjusted odds ratios were mainly associated to obesity, multiparity and weight gain. Obese pregnant women had a significant increased risk of having cesarean-section (p<0.001), preeclampsia (p<0.0001), labor induction (p<0.0001) and postpartum hemorrhage (p<0.0001). Adverse fetal outcomes such as macrosomia were also correlated with high BMI (p<0.0001). The risk was even greater for multiparous, older women that carried excessive weight gain. There is therefore a need to increase awareness among the target population and encourage prevention of the dangers related to obesity and weight gain.","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47968377","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 : 2020-12-24DOI: 10.46300/91011.2020.14.31
Achmadi Susilo, D. Haryanta, Tatuk Tojibatus Sa’adah
One of the threats in the cultivation of chili is the presence of aphids attack.The study aims to determine the effect of bintaro / (Cerbera manghas)leaf extract spraying as a bio-pesticide on the transmission patterns of aphids in chili plants.The experimental method refers to the Painter resistance test(Painter, 1951). Factorial experiment with factor I treatment was the concentration of bintaro leaf extract with six levels namely 0.0% concentration; 2.5%concentration; 5.0%concentration; 7.5%concentration; 10.0%concentration; and 12.5%concentration. Factor II treatment was the frequency of spraying namely F1 sprayed once a week (sunday), and F2 is sprayed twice a week (Sunday and Wednesday). Overall there are 12 treatment combinations. The experimental unit is a polybag planted by one stem of chili per polybag so that it requires 60 plant polybags, carried out in a controlled field from the presence of other animals by covering it with a mosquito net. In the inside of the lid of mosquito net is infested with chili plants which are attacked by aphids. Source of inoculum of one plant stem attacked by aphids for each containment/lid (each experimental group).The number of insects that transmitted to the treatment plants was observed every two days or before spraying, while the damage to plants at the end of the experiment. The results showed that there were two types of aphids that attacked the inoculum source plant namely Bemesia tabaci (whitefly) and Aphis gossypii (Aphid) and there were symbionts in the form of black ants (Dolichoderus thoracicus Smith). Transmission occurs since one day after infestation. Population density of the three insect species in each treatment was significantly different, there was an interaction between treatment concentrations with the frequency of bintaro leaf extract spraying, but the density was not consistent from one observation to the next. Plant damage occurs in all plants and the frequency of spraying can reduce damage to the chili plants.
{"title":"The Effect of Bintaro (Cerbera manghas) Leaf Extract on Transmission of Aphids (Homoptera) in Chili (Capsicum annuum) Plants","authors":"Achmadi Susilo, D. Haryanta, Tatuk Tojibatus Sa’adah","doi":"10.46300/91011.2020.14.31","DOIUrl":"https://doi.org/10.46300/91011.2020.14.31","url":null,"abstract":"One of the threats in the cultivation of chili is the presence of aphids attack.The study aims to determine the effect of bintaro / (Cerbera manghas)leaf extract spraying as a bio-pesticide on the transmission patterns of aphids in chili plants.The experimental method refers to the Painter resistance test(Painter, 1951). Factorial experiment with factor I treatment was the concentration of bintaro leaf extract with six levels namely 0.0% concentration; 2.5%concentration; 5.0%concentration; 7.5%concentration; 10.0%concentration; and 12.5%concentration. Factor II treatment was the frequency of spraying namely F1 sprayed once a week (sunday), and F2 is sprayed twice a week (Sunday and Wednesday). Overall there are 12 treatment combinations. The experimental unit is a polybag planted by one stem of chili per polybag so that it requires 60 plant polybags, carried out in a controlled field from the presence of other animals by covering it with a mosquito net. In the inside of the lid of mosquito net is infested with chili plants which are attacked by aphids. Source of inoculum of one plant stem attacked by aphids for each containment/lid (each experimental group).The number of insects that transmitted to the treatment plants was observed every two days or before spraying, while the damage to plants at the end of the experiment. The results showed that there were two types of aphids that attacked the inoculum source plant namely Bemesia tabaci (whitefly) and Aphis gossypii (Aphid) and there were symbionts in the form of black ants (Dolichoderus thoracicus Smith). Transmission occurs since one day after infestation. Population density of the three insect species in each treatment was significantly different, there was an interaction between treatment concentrations with the frequency of bintaro leaf extract spraying, but the density was not consistent from one observation to the next. Plant damage occurs in all plants and the frequency of spraying can reduce damage to the chili plants.","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47720418","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 : 2020-12-14DOI: 10.46300/91011.2020.14.30
D. Haryanta, Achmadi Susilo, Tatuk Tojibatus Sa’adah
The mechanism of the organic pesticides of Bintaro plant extract (Cerbera manghas) in reducing the insect pest population needs to be continuously studied. The study aims to determine the Repelence (ability to resist) of bintaro plant extracts against brown ladybugs (Riptortus linearis). The factorial experiment with the first-factor treatment was extracted Bintaro plant organs, namely leaf extract, stem bark extract, fruit pulp extract and bintaro seed extract, while the second treatment factor was the extract concentration (w/v), namely a concentration of 2,5%, a concentration of 7,5%, and a concentration of 12,5%. The experimental variables were the chemical compound content of each Bintaro plant part extract, insect mortality, length of each instar and stadia, and development into the next instar or stadia. The research results showed that Bintaro plants (leaves, fruit, seeds and bark) contain ingredients that can be used as organic pesticides. Bintaro plant extract has an effect on the mortality and development of Riptortus linearis insects. The results of the Bintaro plant extract test on the mortality and development of Riptortus linearis insects are less significant if it will be used to suppress the population, but the application of organic pesticides in the field is proven to be able to suppress the population, reduce the level of crop damage and increase crop production.
{"title":"Repelence of Bintaro Plant Extract (Cerbera Manghas) Against Pod-sucking Insects (Riptortus Linearis) (Hemiptera)","authors":"D. Haryanta, Achmadi Susilo, Tatuk Tojibatus Sa’adah","doi":"10.46300/91011.2020.14.30","DOIUrl":"https://doi.org/10.46300/91011.2020.14.30","url":null,"abstract":"The mechanism of the organic pesticides of Bintaro plant extract (Cerbera manghas) in reducing the insect pest population needs to be continuously studied. The study aims to determine the Repelence (ability to resist) of bintaro plant extracts against brown ladybugs (Riptortus linearis). The factorial experiment with the first-factor treatment was extracted Bintaro plant organs, namely leaf extract, stem bark extract, fruit pulp extract and bintaro seed extract, while the second treatment factor was the extract concentration (w/v), namely a concentration of 2,5%, a concentration of 7,5%, and a concentration of 12,5%. The experimental variables were the chemical compound content of each Bintaro plant part extract, insect mortality, length of each instar and stadia, and development into the next instar or stadia. The research results showed that Bintaro plants (leaves, fruit, seeds and bark) contain ingredients that can be used as organic pesticides. Bintaro plant extract has an effect on the mortality and development of Riptortus linearis insects. The results of the Bintaro plant extract test on the mortality and development of Riptortus linearis insects are less significant if it will be used to suppress the population, but the application of organic pesticides in the field is proven to be able to suppress the population, reduce the level of crop damage and increase crop production.","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49541064","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 : 2020-12-09DOI: 10.46300/91011.2020.14.27
Biometrics is considered in current research as one of the best methods for authenticating human beings. In our paper, the heartbeat biometric, also called Electrocardiographic (ECG), is working on. This biometric is chosen because human ECGs cannot be falsely created and replicated. This study aims to find the best features from this biometric that can identify a person, given the extractions and classification algorithms for the heartbeat biometric signal. Depending on a literature study we work to propose a new and more efficient technique based on a new method for ECG features extraction and these features will be the inputs for pattern recognition classifier. This methodology will be tested on real experimental ECG data that is collected. The Data collected from 10 subjects by a commercial ECG device taking the data from lead 1. The pre-processing steps start with the Empirical Mode Decomposition (EMD) before digital filters which are: low pass, high pass, and derivative pass filters. Features extraction steps are peak detection, segmentation, and wave modeling for each segment. The classification used the Multi-Layer Perceptron and compared it to classification using Radial Basis Function were the results of MLP were much better for these applications since the accuracy of the final results of MLP is 99% and that related to the RBF is 95%.
{"title":"Sum of Sine Modeling Approach as a New Processing Technique For a Biometric System Based on ECG Signal","authors":"","doi":"10.46300/91011.2020.14.27","DOIUrl":"https://doi.org/10.46300/91011.2020.14.27","url":null,"abstract":"Biometrics is considered in current research as one of the best methods for authenticating human beings. In our paper, the heartbeat biometric, also called Electrocardiographic (ECG), is working on. This biometric is chosen because human ECGs cannot be falsely created and replicated. This study aims to find the best features from this biometric that can identify a person, given the extractions and classification algorithms for the heartbeat biometric signal. Depending on a literature study we work to propose a new and more efficient technique based on a new method for ECG features extraction and these features will be the inputs for pattern recognition classifier. This methodology will be tested on real experimental ECG data that is collected. The Data collected from 10 subjects by a commercial ECG device taking the data from lead 1. The pre-processing steps start with the Empirical Mode Decomposition (EMD) before digital filters which are: low pass, high pass, and derivative pass filters. Features extraction steps are peak detection, segmentation, and wave modeling for each segment. The classification used the Multi-Layer Perceptron and compared it to classification using Radial Basis Function were the results of MLP were much better for these applications since the accuracy of the final results of MLP is 99% and that related to the RBF is 95%.","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47713362","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 : 2020-12-09DOI: 10.46300/91011.2020.14.28
N. I. Alsaeed, E. Alqaissi, M. A. Siddiqui
The COVID-19 pandemic has resulted in more than a million deaths worldwide and wreaked havoc on world economies. SARS-CoV-2, the virus that causes COVID-19, belongs to a family of coronaviruses that have appeared in the past; however, this virus has been proven to be more lethal and have a much higher infection rate than coronaviruses that have previously emerged. Vaccines for COVID-19 are still in development phases, with limited deployment, and the most effective response to the pandemic has been to adopt social distancing and, in extreme cases, complete lockdown. This paper adopts a modified SIRD (Susceptible, Infectious, Recovered, Deaths) disease spread model for COVID-19 and utilizes agent-based simulation to obtain the number of infections in four different scenarios. The simulated scenarios utilized different contact rates in order to identify their effects on disease spread. Our results confirmed that not taking strict precautionary procedures to prohibit human interactions will lead to increased infections and deaths, adversely affecting countries’ healthcare infrastructure. The model is flexible, and other studies can use it to measure other parameters discovered in the future.
{"title":"An Agent-based Simulation of the SIRD model of COVID-19 Spread","authors":"N. I. Alsaeed, E. Alqaissi, M. A. Siddiqui","doi":"10.46300/91011.2020.14.28","DOIUrl":"https://doi.org/10.46300/91011.2020.14.28","url":null,"abstract":"The COVID-19 pandemic has resulted in more than a million deaths worldwide and wreaked havoc on world economies. SARS-CoV-2, the virus that causes COVID-19, belongs to a family of coronaviruses that have appeared in the past; however, this virus has been proven to be more lethal and have a much higher infection rate than coronaviruses that have previously emerged. Vaccines for COVID-19 are still in development phases, with limited deployment, and the most effective response to the pandemic has been to adopt social distancing and, in extreme cases, complete lockdown. This paper adopts a modified SIRD (Susceptible, Infectious, Recovered, Deaths) disease spread model for COVID-19 and utilizes agent-based simulation to obtain the number of infections in four different scenarios. The simulated scenarios utilized different contact rates in order to identify their effects on disease spread. Our results confirmed that not taking strict precautionary procedures to prohibit human interactions will lead to increased infections and deaths, adversely affecting countries’ healthcare infrastructure. The model is flexible, and other studies can use it to measure other parameters discovered in the future.","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46727314","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 : 2020-12-03DOI: 10.46300/91011.2020.14.25
Hariyadi
—Eggplant (Solanum Melongena L.) is one of the agricultural commodities needed and a kind of vegetables favored because it is not only good in the taste, it also contains potassium and vitamin A which can be beneficial for the body. Eggplant production in Indonesia is low, but the need is high. So it is necessary to increase production, one of them is conducting agricultural extensification. Agricultural extensification can be carried out on land that has not been used properly, such as raised-bog peatland. On the other hand, raised-bog peatland is marginal land that is poor in nutrients and acidic in nature, so that the condition of the peatland is not supportive for plant growth. Therefore, it is necessary to add organic materials such as chicken dung and swallow guano to support the growth and yield of eggplant on raised-bog peatland. The purpose of this study was to determine the effect of chicken dung and swallow guano and their interaction on the yield of eggplant (Solanum Melongena L.) in the raised-bog peatland. This research used a group-randomized design (GRD) with 2 factors: chicken dung and swallow guano as fertilizer with 3 equal levels (a1/w1 = 5 tons/ha; a2/w2 = 10 tons/ha; a3/w3 = 15 tons/ha). The parameter observed and measured were the yield of eggplant. The results showed that the single use of swallow guano as fertilizer had a significant effect on fruit diameter and length, the quantity of fruit for each plant, the average weight of fresh fruit, fruit weight for each plant, and fruit weight for each hectare. On the other hand, the use of chicken dung as fertilizer had a significant effect on the number of fruit per plant, fruit weight per plant, and fruit weight per hectare. The results showed that the best eggplant yield component was obtained from the addition of swallow guano fertilizer at a dose of 15 t ha-1, namely resulted in a fruit weight per plant of 541,14 g tan-1 and a total fruit weight per ha of 12,88 t ha-1. Whereas in chicken dung fertilizer treatment, the most optimum dose is 10 t ha1 which can produce eggplant fruit weight per plant of 531,56 g tan-1 and 12,66 t ha-1 in total eggplant fruit weight per ha.
-茄子(Solanum Melongena L.)是一种必需的农产品，也是一种受欢迎的蔬菜，因为它不仅味道好，而且含有钾和维生素a，对身体有益。印度尼西亚的茄子产量很低，但需求量很大。因此，必须提高产量，其中之一就是进行农业推广。农业推广可以在没有得到合理利用的土地上进行，例如抬高的沼泽泥炭地。另一方面，抬高沼泽泥炭地是边缘土地，营养贫乏，性质酸性，因此泥炭地的条件不支持植物生长。因此，有必要在沼地上添加鸡粪、燕子粪等有机物质来支持茄子的生长和产量。本研究旨在研究鸡粪和吞咽鸟粪及其互作对高沼泽泥炭地茄子产量的影响。本研究采用2因素组随机设计(GRD):鸡粪和燕子鸟粪作为肥料，3个水平相等(a1/w1 = 5 t /ha;A2 /w2 = 10吨/公顷;A3 /w3 = 15吨/公顷)。所观察和测定的参数为茄子的产量。结果表明，单施燕子鸟粪对果实直径和长度、单株果数、鲜果平均重、单株果重、每公顷果重均有显著影响。另一方面，鸡粪施肥对单株果数、单株果重和每公顷果重均有显著影响。结果表明，添加15 tha -1的燕子鸟粪肥对茄子产量的影响最大，单株果重为541.14 g tan-1，每公顷总果重为12.88 tha -1。而在鸡粪肥处理中，最适用量为10 t ha1，可使茄子单株果重达到531 56 g tan-1，总果重达到12.66 t ha-1。
{"title":"The Response of Eggplant (Solanum Melongena L.) Growth Planted on Raised-Bog Peatland towards the Provision of Chicken Dung and Swallow Guano","authors":"Hariyadi","doi":"10.46300/91011.2020.14.25","DOIUrl":"https://doi.org/10.46300/91011.2020.14.25","url":null,"abstract":"—Eggplant (Solanum Melongena L.) is one of the agricultural commodities needed and a kind of vegetables favored because it is not only good in the taste, it also contains potassium and vitamin A which can be beneficial for the body. Eggplant production in Indonesia is low, but the need is high. So it is necessary to increase production, one of them is conducting agricultural extensification. Agricultural extensification can be carried out on land that has not been used properly, such as raised-bog peatland. On the other hand, raised-bog peatland is marginal land that is poor in nutrients and acidic in nature, so that the condition of the peatland is not supportive for plant growth. Therefore, it is necessary to add organic materials such as chicken dung and swallow guano to support the growth and yield of eggplant on raised-bog peatland. The purpose of this study was to determine the effect of chicken dung and swallow guano and their interaction on the yield of eggplant (Solanum Melongena L.) in the raised-bog peatland. This research used a group-randomized design (GRD) with 2 factors: chicken dung and swallow guano as fertilizer with 3 equal levels (a1/w1 = 5 tons/ha; a2/w2 = 10 tons/ha; a3/w3 = 15 tons/ha). The parameter observed and measured were the yield of eggplant. The results showed that the single use of swallow guano as fertilizer had a significant effect on fruit diameter and length, the quantity of fruit for each plant, the average weight of fresh fruit, fruit weight for each plant, and fruit weight for each hectare. On the other hand, the use of chicken dung as fertilizer had a significant effect on the number of fruit per plant, fruit weight per plant, and fruit weight per hectare. The results showed that the best eggplant yield component was obtained from the addition of swallow guano fertilizer at a dose of 15 t ha-1, namely resulted in a fruit weight per plant of 541,14 g tan-1 and a total fruit weight per ha of 12,88 t ha-1. Whereas in chicken dung fertilizer treatment, the most optimum dose is 10 t ha1 which can produce eggplant fruit weight per plant of 531,56 g tan-1 and 12,66 t ha-1 in total eggplant fruit weight per ha.","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43932321","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 : 2020-12-03DOI: 10.46300/91011.2020.14.26
— HIV education and tests are the main entrance for prevention, care and treatment support. Video as an educational tool, convey clear, consistent, and unbiased information while easy to use, effective as face-to-face interactions, yet, online-video has never been used in previous studies regardless of its easy-dissemination. Therefore, health cadres hold important tasks in educating people about the importance of HIV. To determine onlinevideo effectiveness on knowledge increment and cadres’ attitude toward HIV testing importance in Public Health Centers. This study used a cross-sectional method with one group pretest and posttest models. The research sample was 50 HIV cadres using a total sampling technique. Data were analyzed using McNemar test to determine the comparison between pretest and posttest of knowledge and attitude variables. Research findings that before and after the intervention was carried out, there were differences in the results on the knowledge and attitude variables. Based on the McNemar test for the variables of knowledge and attitudes obtained significant results (p = 0.00). This research concludes that o nline-video is effective in increasing knowledge and attitudes of HIV cadres toward the importance of HIV testing in Public Health Centers. In addition, it is necessary to have a combination of other interventions (FGD, flip sheets, counseling, leaflets) using a cohort or RCT method with a larger sample
{"title":"The Effectiveness Of Video-Online Education On Cadres’ Knowledge And Attitude About The Importance Of Human Immunodeficiency Virus (HIV) Testing In Public Health Center","authors":"","doi":"10.46300/91011.2020.14.26","DOIUrl":"https://doi.org/10.46300/91011.2020.14.26","url":null,"abstract":"— HIV education and tests are the main entrance for prevention, care and treatment support. Video as an educational tool, convey clear, consistent, and unbiased information while easy to use, effective as face-to-face interactions, yet, online-video has never been used in previous studies regardless of its easy-dissemination. Therefore, health cadres hold important tasks in educating people about the importance of HIV. To determine onlinevideo effectiveness on knowledge increment and cadres’ attitude toward HIV testing importance in Public Health Centers. This study used a cross-sectional method with one group pretest and posttest models. The research sample was 50 HIV cadres using a total sampling technique. Data were analyzed using McNemar test to determine the comparison between pretest and posttest of knowledge and attitude variables. Research findings that before and after the intervention was carried out, there were differences in the results on the knowledge and attitude variables. Based on the McNemar test for the variables of knowledge and attitudes obtained significant results (p = 0.00). This research concludes that o nline-video is effective in increasing knowledge and attitudes of HIV cadres toward the importance of HIV testing in Public Health Centers. In addition, it is necessary to have a combination of other interventions (FGD, flip sheets, counseling, leaflets) using a cohort or RCT method with a larger sample","PeriodicalId":53488,"journal":{"name":"International Journal of Biology and Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44879286","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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