Lea Angela Saure, Joshua Quides, Raymond C. Ordinario, Rhenish C. Simon
One challenge in adapting to energy generation using solar photovoltaic (PV) modules is its variability with changing weather conditions. In this study, we aim to determine the effect of meteorological parameters that have the most effect on the variability of solar energy generation (SEG). Our study is conducted in Quezon City, part of the National Capital Region, Philippines. The maximum temperature, relative humidity, man temperature, and cloud opacity have the most effect on the variability of the SEG among the eight meteorological parameters that we consider in our study based on the principal component regressor (PCR) and random forest regressor (RFR) machine learning algorithms. The PCR model explains 55.5 and 49.2% variability in SEG of the training and test sets, respectively. On the other hand, the RFR model explains a 77.1% variation of the SEG in the training and 52.7% in the test set. Furthermore, the two models provided comparable predictions of SEG.
{"title":"Determining Meteorological Parameters Influencing Photovoltaic Solar Energy Generation in Quezon City Using Machine Learning Algorithms","authors":"Lea Angela Saure, Joshua Quides, Raymond C. Ordinario, Rhenish C. Simon","doi":"10.56899/152.s1.08","DOIUrl":"https://doi.org/10.56899/152.s1.08","url":null,"abstract":"One challenge in adapting to energy generation using solar photovoltaic (PV) modules is its variability with changing weather conditions. In this study, we aim to determine the effect of meteorological parameters that have the most effect on the variability of solar energy generation (SEG). Our study is conducted in Quezon City, part of the National Capital Region, Philippines. The maximum temperature, relative humidity, man temperature, and cloud opacity have the most effect on the variability of the SEG among the eight meteorological parameters that we consider in our study based on the principal component regressor (PCR) and random forest regressor (RFR) machine learning algorithms. The PCR model explains 55.5 and 49.2% variability in SEG of the training and test sets, respectively. On the other hand, the RFR model explains a 77.1% variation of the SEG in the training and 52.7% in the test set. Furthermore, the two models provided comparable predictions of SEG.","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84435107","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}
The ionospheric total electron content (TEC) response during the St. Patrick's Day geomagnetic storm of 2015 (max Kp = 8) is an interest of study in the field of space weather since it is the strongest geomagnetic storm of Solar Cycle 24. The cause of this storm is a coronal mass ejection (CME) from the Sun on 15 Mar 2015 recorded by SOHO/LASCO and arrived at ~ 05:00 UT 17 Mar 2015. The CME speed is estimated at ~ 668 km/s. At the initial phase of the storm, the disturbance storm time (Dst) index rose from 15 nanoteslas nT at 03:21–56 nT at 05:31 UT. The main phase of the storm caused the Dst index to drop to the minimum value of –223 nT from 05:31–22:33 UT on 17 Mar 2015. In the Philippine-Taiwan sector, TEC during the main phase was enhanced by ~ 25 TECU on 10 GNSS receiver stations and was depleted afterward with a maximum depletion of ~ 33 TECU on PBAS. The recovery phase showed a TEC depletion on all stations for the whole day. The minimum dTEC (differential TEC) is observed at PBAS (Basco, Batanes, Philippines), and the maximum percent depletion is observed at TWTF (Taoyuan, Taiwan) during the early hours of photoionization. Results from this study verified that GNSS TEC measurements along Asian sectors dropped significantly during St. Patrick's geomagnetic storm.
{"title":"Response of the Ionospheric Total Electron Content During St. Patrick's Day Geomagnetic Storm in 2015 over the Philippine-Taiwan Region","authors":"Merlin M. Mendoza, E. Macalalad","doi":"10.56899/152.s1.06","DOIUrl":"https://doi.org/10.56899/152.s1.06","url":null,"abstract":"The ionospheric total electron content (TEC) response during the St. Patrick's Day geomagnetic storm of 2015 (max Kp = 8) is an interest of study in the field of space weather since it is the strongest geomagnetic storm of Solar Cycle 24. The cause of this storm is a coronal mass ejection (CME) from the Sun on 15 Mar 2015 recorded by SOHO/LASCO and arrived at ~ 05:00 UT 17 Mar 2015. The CME speed is estimated at ~ 668 km/s. At the initial phase of the storm, the disturbance storm time (Dst) index rose from 15 nanoteslas nT at 03:21–56 nT at 05:31 UT. The main phase of the storm caused the Dst index to drop to the minimum value of –223 nT from 05:31–22:33 UT on 17 Mar 2015. In the Philippine-Taiwan sector, TEC during the main phase was enhanced by ~ 25 TECU on 10 GNSS receiver stations and was depleted afterward with a maximum depletion of ~ 33 TECU on PBAS. The recovery phase showed a TEC depletion on all stations for the whole day. The minimum dTEC (differential TEC) is observed at PBAS (Basco, Batanes, Philippines), and the maximum percent depletion is observed at TWTF (Taoyuan, Taiwan) during the early hours of photoionization. Results from this study verified that GNSS TEC measurements along Asian sectors dropped significantly during St. Patrick's geomagnetic storm.","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74797866","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}
Aamer Sultan, Aaron Austin de Asa, Tesah Mae Guimbangunan, Ezekiel Dmitri Serapio, Allan Fellizar, P. M. Albano, Rock Christian Tomas
[Background] Colorectal cancer (CRC) comprises 10% of all cancer diagnoses, making it the third most diagnosed cancer globally. Despite its prevalence, most current methods for identifying CRC lack sensitivity and consistency while being invasive and costly. Thus, this study aimed to develop artificial neural network (ANN) models that could accurately detect CRC using miRNA expressions in tissue and plasma samples. [Methods] The study used miRNA expression profiles of formalin-fixed paraffin-embedded tissue and plasma samples obtained from CRC patients and healthy controls. ANNs were trained to discriminate between CRC patients from healthy controls using the relative expression of miR-21-5p, miR-196b-5p, miR- 135b-5p, miR-92a-3p, miR-29a-3p, and miR-197-3p in colorectal tissues and blood plasma. Multivariate logistic regression (MLR) and decision tree (DT) models were used to compare the performance of the ANN models. [Results] The ANNs achieved an accuracy of 98.5 and 88.2%, a sensitivity of 90.9 and 80.4%, a specificity of 92.6 and 84.7%, and an area under the ROC curve of 0.92 and 0.83 for the plasma and tissue samples, respectively. Moreover, sensitivity analysis of the ANN models showed that miR-135b-5p and miR-92a-3p had the greatest influence in distinguishing CRC from healthy plasma and malignant from neoplasm-free colorectal tissues, respectively. However, only miR-135b-5p was significantly downregulated in both CRC plasma and malignant colorectal tissue samples. Results from the MLR and DT models support the results from the ANN sensitivity analysis. [Conclusion] Our results show that the trained ANNs were able to accurately and confidently detect CRC using the considered six miRNA expression levels in colorectal tissue and plasma samples, providing an accurate, rapid, and less-invasive approach to diagnosing CRC.
{"title":"Machine Learning-based Prediction of the Likelihood of Colorectal Cancer Using miRNA Expression","authors":"Aamer Sultan, Aaron Austin de Asa, Tesah Mae Guimbangunan, Ezekiel Dmitri Serapio, Allan Fellizar, P. M. Albano, Rock Christian Tomas","doi":"10.56899/152.04.12","DOIUrl":"https://doi.org/10.56899/152.04.12","url":null,"abstract":"[Background] Colorectal cancer (CRC) comprises 10% of all cancer diagnoses, making it the third most diagnosed cancer globally. Despite its prevalence, most current methods for identifying CRC lack sensitivity and consistency while being invasive and costly. Thus, this study aimed to develop artificial neural network (ANN) models that could accurately detect CRC using miRNA expressions in tissue and plasma samples. [Methods] The study used miRNA expression profiles of formalin-fixed paraffin-embedded tissue and plasma samples obtained from CRC patients and healthy controls. ANNs were trained to discriminate between CRC patients from healthy controls using the relative expression of miR-21-5p, miR-196b-5p, miR- 135b-5p, miR-92a-3p, miR-29a-3p, and miR-197-3p in colorectal tissues and blood plasma. Multivariate logistic regression (MLR) and decision tree (DT) models were used to compare the performance of the ANN models. [Results] The ANNs achieved an accuracy of 98.5 and 88.2%, a sensitivity of 90.9 and 80.4%, a specificity of 92.6 and 84.7%, and an area under the ROC curve of 0.92 and 0.83 for the plasma and tissue samples, respectively. Moreover, sensitivity analysis of the ANN models showed that miR-135b-5p and miR-92a-3p had the greatest influence in distinguishing CRC from healthy plasma and malignant from neoplasm-free colorectal tissues, respectively. However, only miR-135b-5p was significantly downregulated in both CRC plasma and malignant colorectal tissue samples. Results from the MLR and DT models support the results from the ANN sensitivity analysis. [Conclusion] Our results show that the trained ANNs were able to accurately and confidently detect CRC using the considered six miRNA expression levels in colorectal tissue and plasma samples, providing an accurate, rapid, and less-invasive approach to diagnosing CRC.","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82825129","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}
{"title":"Assess the prevalence and insecticide resistance of major dengue vectors Aedes SP. in selected locations of Batticaloa District","authors":"J. Dilushi, M. Vinobaba, S. Surendran","doi":"10.4038/jsc.v14i5.57","DOIUrl":"https://doi.org/10.4038/jsc.v14i5.57","url":null,"abstract":"","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80473133","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}
{"title":"Nutritional composition of three commercially important brackish water fish species recorded from Batticaloa Lagoon, Sri Lanka","authors":"M. W. F. A. Nazra, C. Devadasan","doi":"10.4038/jsc.v14i5.58","DOIUrl":"https://doi.org/10.4038/jsc.v14i5.58","url":null,"abstract":"","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89495425","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}
{"title":"Ergasilid copepod infestation on some widely consumed fish species in Valaichchenai Lagoon, Batticaloa District, Sri Lanka","authors":"I. Sarmila, J. M. Harris, P. Vinobaba","doi":"10.4038/jsc.v14i5.56","DOIUrl":"https://doi.org/10.4038/jsc.v14i5.56","url":null,"abstract":"","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88231213","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}
M. Rizvi, P. Fernando, M. Yunestharan, T. Vikneswaran, M. G. H. Siriwardhana, K. M. U. M. Ketawala, S. Aynharan, H. A. Tharshanth, S. Sumantha
{"title":"Design and construction of a low cost coconut husk removing machine","authors":"M. Rizvi, P. Fernando, M. Yunestharan, T. Vikneswaran, M. G. H. Siriwardhana, K. M. U. M. Ketawala, S. Aynharan, H. A. Tharshanth, S. Sumantha","doi":"10.4038/jsc.v14i5.55","DOIUrl":"https://doi.org/10.4038/jsc.v14i5.55","url":null,"abstract":"","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82826499","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}
{"title":"Characterization of micro-plastics in water and sediments in Batticaloa lagoon at Kattankudy","authors":"A. Jahan, P. Vinobaba, A. Harris","doi":"10.4038/jsc.v14i5.53","DOIUrl":"https://doi.org/10.4038/jsc.v14i5.53","url":null,"abstract":"","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83419556","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}
The sandy beach ecosystem is a vital ecological link between the sea and land through its various ecosystem services. This study determined the morphology and activity of ghost crab (Ocypode sp.) burrows in the ipomoea zone and exposed zone at three sites within the sandy beach ecosystem. Ghost crab burrow characteristics and activity were revealed to be influenced by the ipomoea cover. The density of burrows significantly varied based on increasing observations from the exposed zone to the ipomoea zone at all sites. Higher active burrows were observed at the ipomoea zone indicated by fresh sand or traces by individuals around the burrow openings. Burrow castings generated shapes resembling letters I, J, S, V, Y, and inverted Y. Burrow depths at the exposed zone appeared deeper than the ipomoea zone at all sites. The findings stressed the dynamic relationships of flora and fauna in sandy beach tropical ecosystems such as in the Philippines, highlighting the vegetation as an important component of beach habitat, as well as the need for equal attention and management of these often neglected ecosystems.
{"title":"Influence of Ipomoea pes-caprae Cover on the Density, Size, and Architecture of Ghost Crab (Ocypode sp.) Burrow in Sandy Beach Ecosystem","authors":"R. Diamante, S. M. S. Santander‐de Leon","doi":"10.56899/152.04.10","DOIUrl":"https://doi.org/10.56899/152.04.10","url":null,"abstract":"The sandy beach ecosystem is a vital ecological link between the sea and land through its various ecosystem services. This study determined the morphology and activity of ghost crab (Ocypode sp.) burrows in the ipomoea zone and exposed zone at three sites within the sandy beach ecosystem. Ghost crab burrow characteristics and activity were revealed to be influenced by the ipomoea cover. The density of burrows significantly varied based on increasing observations from the exposed zone to the ipomoea zone at all sites. Higher active burrows were observed at the ipomoea zone indicated by fresh sand or traces by individuals around the burrow openings. Burrow castings generated shapes resembling letters I, J, S, V, Y, and inverted Y. Burrow depths at the exposed zone appeared deeper than the ipomoea zone at all sites. The findings stressed the dynamic relationships of flora and fauna in sandy beach tropical ecosystems such as in the Philippines, highlighting the vegetation as an important component of beach habitat, as well as the need for equal attention and management of these often neglected ecosystems.","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73458839","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}
{"title":"Synthesis and characterization of eco-friendly bio lubricants from plant-based oils","authors":"P. G. T. Chamika, S. Arasaretnam, S. Premkumar","doi":"10.4038/jsc.v14i5.54","DOIUrl":"https://doi.org/10.4038/jsc.v14i5.54","url":null,"abstract":"","PeriodicalId":39096,"journal":{"name":"Philippine Journal of Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80775785","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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