Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS最新文献
Pub Date : 2022-12-27DOI: 10.3390/mol2net-08-13912
Estefania Ascencio
Nitrogen (N) is one of the most important nutrients for plant growth and is therefore largely applied in agricultural systems through fertilization. However, nitrification leads to nitrate leaching and the production of gaseous nitrous oxide, which can result in a loss of up to 50% of nitrogen availability to the plant. There are different strategies to prevent nitrification, such as the use of synthetic nitrification inhibitors (SNI), biological nitrification inhibitors (BNI), controlled slow-release fertilizers and keeping plants in continuous growth to assimilate nitrogen. However, when making a decision on which methodology to use to manage fertilization, the advantages and disadvantages of each must be known in order to achieve efficient nitrogen use (NUE). This mini-review will show some strategies used in agriculture.
{"title":"Strategies for efficient use of nitrogen in agriculture","authors":"Estefania Ascencio","doi":"10.3390/mol2net-08-13912","DOIUrl":"https://doi.org/10.3390/mol2net-08-13912","url":null,"abstract":"Nitrogen (N) is one of the most important nutrients for plant growth and is therefore largely applied in agricultural systems through fertilization. However, nitrification leads to nitrate leaching and the production of gaseous nitrous oxide, which can result in a loss of up to 50% of nitrogen availability to the plant. There are different strategies to prevent nitrification, such as the use of synthetic nitrification inhibitors (SNI), biological nitrification inhibitors (BNI), controlled slow-release fertilizers and keeping plants in continuous growth to assimilate nitrogen. However, when making a decision on which methodology to use to manage fertilization, the advantages and disadvantages of each must be known in order to achieve efficient nitrogen use (NUE). This mini-review will show some strategies used in agriculture.","PeriodicalId":376805,"journal":{"name":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122536239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-26DOI: 10.3390/mol2net-08-13911
Andrea Ruiz Escudero
{"title":"The application of Machine Learning to Raman spectroscopy","authors":"Andrea Ruiz Escudero","doi":"10.3390/mol2net-08-13911","DOIUrl":"https://doi.org/10.3390/mol2net-08-13911","url":null,"abstract":"","PeriodicalId":376805,"journal":{"name":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129455801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-26DOI: 10.3390/mol2net-08-13910
Andrea Ruiz Escudero
{"title":"The potential application of Polymeric Nanoparticles in different cancer treatments","authors":"Andrea Ruiz Escudero","doi":"10.3390/mol2net-08-13910","DOIUrl":"https://doi.org/10.3390/mol2net-08-13910","url":null,"abstract":"","PeriodicalId":376805,"journal":{"name":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","volume":"263 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122941618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-26DOI: 10.3390/mol2net-08-13909
Aqib Ali, Aliya Batool, Baqir Hashmi, Samreen Naeem, Sania Anam
{"title":"IoT based smart mirror","authors":"Aqib Ali, Aliya Batool, Baqir Hashmi, Samreen Naeem, Sania Anam","doi":"10.3390/mol2net-08-13909","DOIUrl":"https://doi.org/10.3390/mol2net-08-13909","url":null,"abstract":"","PeriodicalId":376805,"journal":{"name":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","volume":"18 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129372528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-25DOI: 10.3390/mol2net-08-13908
Aqib Ali, Samreen Naeem, Sania Anam, Muhammad Zubair
{"title":"Machine Learning Based Classification of Lung Cancer Using CT Scan Images","authors":"Aqib Ali, Samreen Naeem, Sania Anam, Muhammad Zubair","doi":"10.3390/mol2net-08-13908","DOIUrl":"https://doi.org/10.3390/mol2net-08-13908","url":null,"abstract":"","PeriodicalId":376805,"journal":{"name":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-25DOI: 10.3390/mol2net-08-13903
Aqib Ali, Samreen Naeem, Muhammad Zubair
{"title":"Machine Learning Based Classification of Chronic Kidney Disease Using CT Scan Images","authors":"Aqib Ali, Samreen Naeem, Muhammad Zubair","doi":"10.3390/mol2net-08-13903","DOIUrl":"https://doi.org/10.3390/mol2net-08-13903","url":null,"abstract":"","PeriodicalId":376805,"journal":{"name":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129919569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-25DOI: 10.3390/mol2net-08-13905
Liudmyla Halka, T. Kucher, Liubomyr Kryskiw, Marjan Piponsk, Iryna Furdela, T. Uglyar, O. Poliak, L. Logoyda
The aim of the work was to develop a spectrophotometric method for the determination of rosuvastatin in tablets based on the reaction with BPB in compliance with the principles of «green» chemistry. Material and methods. Analytical equipment: two-beam UV-visible spectrophotometer Shimadzu model -UV 1800 (Japan), software UV-Probe 2.62, electronic laboratory balance RAD WAG AS 200/C. The following APIs, dosage forms, reagents and solvents were used in work: pharmacopoeial standard sample (CRS) of rosuvastatin calcium (Sigma-Aldrich, (≥ 98 %, HPLC)), BCG (Sigma-Aldrich, (≥ 98 %, HPLC)), "Rosuvastatin" tablets 10 mg, 15 mg, 20 mg, methanol (Honeywell, (≥ 99.9 %, GC)), ethanol (Honeywell, (≥ 99.9 %, GC)), chloroform (Honeywell, (≥ 99.9 %, GC)), acetonitrile (Honeywell, (≥ 99.9 %, GC)), and ethyl acetate (Honeywell, (≥ 99.7 %, GC)). Results and discussion. A spectrophotometric method for determining rosuvastatin by reaction with BPB in an acetonitrile solution using the absorption maximum at a wavelength of 595 nm has been developed. Stoichiometric ratios of reactive components were established, which were 1:1. The developed method for the quantitative determination of rosuvastatin was validated following the requirements of the SPhU. The analytical method was linear in the 7.99-23.97 μmol/L concentration range. The LOD and LOQ values were calculated to be 0.77 µmol/L and 2.36 µmol/L. According to the «greenness» pictogram of the analytical method using the AGREE method, the score was 0.77, indicating that the proposed spectrophotometric method for determining rosuvastatin was developed in compliance with the principles of «green» chemistry. Conclusions. An eco-friendly spectrophotometric method has been developed to quantitatively determine rosuvastatin in tablets based on the reaction with BPB. The appropriate sulfophthalein dye (BPB) and its concentration (4.00 x 10-4), the optimal eco-friendly solvent (acetonitrile), and the appropriate wavelength (595 nm) were chosen, and the sensitivity of the reaction was calculated. The analytical method was validated, and its possibility for use in the pharmaceutical analysis was shown
{"title":"Development of the spectrophotometric method for the determination of rosuvastatin in tablets by using bromophenol blue","authors":"Liudmyla Halka, T. Kucher, Liubomyr Kryskiw, Marjan Piponsk, Iryna Furdela, T. Uglyar, O. Poliak, L. Logoyda","doi":"10.3390/mol2net-08-13905","DOIUrl":"https://doi.org/10.3390/mol2net-08-13905","url":null,"abstract":"The aim of the work was to develop a spectrophotometric method for the determination of rosuvastatin in tablets based on the reaction with BPB in compliance with the principles of «green» chemistry. \u0000Material and methods. Analytical equipment: two-beam UV-visible spectrophotometer Shimadzu model -UV 1800 (Japan), software UV-Probe 2.62, electronic laboratory balance RAD WAG AS 200/C. The following APIs, dosage forms, reagents and solvents were used in work: pharmacopoeial standard sample (CRS) of rosuvastatin calcium (Sigma-Aldrich, (≥ 98 %, HPLC)), BCG (Sigma-Aldrich, (≥ 98 %, HPLC)), \"Rosuvastatin\" tablets 10 mg, 15 mg, 20 mg, methanol (Honeywell, (≥ 99.9 %, GC)), ethanol (Honeywell, (≥ 99.9 %, GC)), chloroform (Honeywell, (≥ 99.9 %, GC)), acetonitrile (Honeywell, (≥ 99.9 %, GC)), and ethyl acetate (Honeywell, (≥ 99.7 %, GC)). \u0000Results and discussion. A spectrophotometric method for determining rosuvastatin by reaction with BPB in an acetonitrile solution using the absorption maximum at a wavelength of 595 nm has been developed. Stoichiometric ratios of reactive components were established, which were 1:1. The developed method for the quantitative determination of rosuvastatin was validated following the requirements of the SPhU. The analytical method was linear in the 7.99-23.97 μmol/L concentration range. The LOD and LOQ values were calculated to be 0.77 µmol/L and 2.36 µmol/L. According to the «greenness» pictogram of the analytical method using the AGREE method, the score was 0.77, indicating that the proposed spectrophotometric method for determining rosuvastatin was developed in compliance with the principles of «green» chemistry. \u0000Conclusions. An eco-friendly spectrophotometric method has been developed to quantitatively determine rosuvastatin in tablets based on the reaction with BPB. The appropriate sulfophthalein dye (BPB) and its concentration (4.00 x 10-4), the optimal eco-friendly solvent (acetonitrile), and the appropriate wavelength (595 nm) were chosen, and the sensitivity of the reaction was calculated. The analytical method was validated, and its possibility for use in the pharmaceutical analysis was shown","PeriodicalId":376805,"journal":{"name":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126696937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-25DOI: 10.3390/mol2net-08-13906
Aqib Ali, Samreen Naeem, Sania Anam, Muhammad Zubair
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{"title":"Machine Learning-Based Automated Detection of Diabetic Retinopathy Using Retinal fundus images.","authors":"Aqib Ali, Samreen Naeem, Sania Anam, Muhammad Zubair","doi":"10.3390/mol2net-08-13906","DOIUrl":"https://doi.org/10.3390/mol2net-08-13906","url":null,"abstract":".","PeriodicalId":376805,"journal":{"name":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","volume":" 27","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114051700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-25DOI: 10.3390/mol2net-08-13907
Aqib Ali, Samreen Naeem, Sania Anam, Muhammad Zubair
{"title":"Agile Software Development Processes Implementing Issues and Challenges with Scrum","authors":"Aqib Ali, Samreen Naeem, Sania Anam, Muhammad Zubair","doi":"10.3390/mol2net-08-13907","DOIUrl":"https://doi.org/10.3390/mol2net-08-13907","url":null,"abstract":"","PeriodicalId":376805,"journal":{"name":"Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121723785","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}
Proceedings of MOL2NET'22, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 8th ed. - MOL2NET: FROM MOLECULES TO NETWORKS
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