Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings最新文献
Pub Date : 2022-09-02DOI: 10.36548/itdw.2022.3.005
Pascal Muam Mah, I. Skalna, John Muzam, L. Song
FinTech is a digital innovation technology that aims to educate and enable the world on how to create utility values in every activity. Natural language processing is one of the umbrella systems that has unite other innovative technologies behind FinTech. Technological system drivers regarded as "ABCDE" of FinTech consist of Artificial intelligence, Blockchain, Cloud computing, big data, and the internet of things. As communication took the lead in the second half of the 21st century, most companies are moving remotely, leading to much-needed innovation in FinTech. The study presents how natural language processing enables different technologies and advances the technology behind FinTech. The study aims to identify areas of the modern world that can be transformed into a source of finance using the FinTechs drivers of "ABCDE”. The study observed FinTech as a digital Economics that integrates with different aspects of modern technology to create utility values. The study uses the 5 C's of credit as the source of finance for innovative ideas and the 5 P's of marketing as innovative network to reach ultimate FinTech utility values. Results based on the demand and supply analysis indicate that a combination of 5 C's and 5 P's is the bond behind FinTech with the support of the drivers of "ABCDE". Also that the increased demand for goods and services in every economy indicates a fall in the request for credit and vice versa. The study concluded that a well-structured 5 C's and 5 P's is the best route to FinTech technology which is financial freedom to the world.
{"title":"Analysis of Natural Language Processing in the FinTech Models of Mid-21st Century","authors":"Pascal Muam Mah, I. Skalna, John Muzam, L. Song","doi":"10.36548/itdw.2022.3.005","DOIUrl":"https://doi.org/10.36548/itdw.2022.3.005","url":null,"abstract":"FinTech is a digital innovation technology that aims to educate and enable the world on how to create utility values in every activity. Natural language processing is one of the umbrella systems that has unite other innovative technologies behind FinTech. Technological system drivers regarded as \"ABCDE\" of FinTech consist of Artificial intelligence, Blockchain, Cloud computing, big data, and the internet of things. As communication took the lead in the second half of the 21st century, most companies are moving remotely, leading to much-needed innovation in FinTech. The study presents how natural language processing enables different technologies and advances the technology behind FinTech. The study aims to identify areas of the modern world that can be transformed into a source of finance using the FinTechs drivers of \"ABCDE”. \u0000The study observed FinTech as a digital Economics that integrates with different aspects of modern technology to create utility values. The study uses the 5 C's of credit as the source of finance for innovative ideas and the 5 P's of marketing as innovative network to reach ultimate FinTech utility values. Results based on the demand and supply analysis indicate that a combination of 5 C's and 5 P's is the bond behind FinTech with the support of the drivers of \"ABCDE\". Also that the increased demand for goods and services in every economy indicates a fall in the request for credit and vice versa. The study concluded that a well-structured 5 C's and 5 P's is the best route to FinTech technology which is financial freedom to the world.","PeriodicalId":74231,"journal":{"name":"Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89937437","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 : 2022-09-01DOI: 10.21475/ajcs.22.16.09.p3624
Bruno Eduardo Caxias Miranda, R. Rodrigues, C. Costa, Eduarda Castro da Silva, R. P. Lana, A. D. Jesus, Izakiel Reis Marinho, K. Costa, Ivo Ribeiro, J. S. Araújo, R. A. Araújo
The objective of this study was to evaluate increasing levels of nitrogen on and production and nutritive value of Andropogon and Massai grasses under the edaphoclimatic conditions of the Brazil denominated Middle Nort Region. The design used was completely randomized, with sixteen replicatios. The treatments consisted of nitrogen rates: 0, 150, 300, 450 and 600 kg N ha-1 and two forages, which were evaluated independently. The grasses used were Panicum maximum cv. Massai and Andropogon gayanus cv. Kunth. For Andropogon grass, there was an effect of nitrogen fertilization on thecharacteristics: leaf elongation rate, stem elongation rate, leaf senescence rate and leaf blade final length and, in all cases, the behavior was quadratic. Nitrogen also influenced the morphogenic characteristics: leaf appearance rate, leaf elongation rate, leaf senescence rate, phyllochron, leaf blade final length, number of live leaves per tiller and It was not significant for tiller population density of Massai grass, but the behavior varied according to the characteristic, in which leaf appearance rate and number of live leaves per tiller had decreasing linear behavior, while in phyllochron it increased linearly as nitrogen doses increased. Most of the productive characteristics of the grasses had increasing linear behavior (total biomass production of forage, leaf biomass and stem biomass in Andropogon grass, while in Massai grass, only the total forage production and dead material accumulation had an increasing linear behavior with increase of N doses. Quadratic effect only for masai leaf biomass behavior and there was practically no production of stems, affecting the leaf-stem ratio ) while the highest efficiency of nitrogen utilization was achieved with the application of 150 kg N ha-1 for the two grasses. Nitrogen fertilization also favored the nutritive value of the two grasses positively, with linear increase for crude protein and mineral matter contents, only in Massai, and reduction in the contents of neutral detergent fiber, acid detergent fiber and hemicellulose of grasses. Increasing doses of nitrogen fertilization favors the production, structure and chemical composition of the two grasses. However, the highest efficiency of use is obtained with the application of 150 kg N ha-1.
本研究的目的是评价在巴西中北部地区的气候条件下，Andropogon和Massai草的氮含量、产量和营养价值的增加。使用的设计是完全随机的，有16个重复。各处理分别为0、150、300、450和600 kg N hm -1和2种饲料，分别进行独立评价。所选用的牧草为大头草。马塞人与雌雄同体。肯。施氮量对雄性矮脚草叶片伸长率、茎伸长率、叶片衰老率和叶片终长均有影响，且均呈二次型关系。氮素对马塞草分蘖种群密度的影响不显著，但其表现随氮素剂量的增加呈线性下降，叶长随氮素剂量的增加呈线性增加，叶长随氮素剂量的增加呈线性下降，叶长随氮素剂量的增加呈线性增加。随着施氮量的增加，大部分牧草的生产特征呈线性增加的趋势(雄草的牧草总生物量、叶生物量和茎生物量)，而马塞草只有牧草总产量和死物质积累呈线性增加趋势。两种牧草在施用150 kg N hm -1时氮素利用效率最高，仅对马塞草叶片生物量表现出二次效应，茎秆产量几乎为零(影响叶柄比)。施氮对两种牧草的营养价值也有正向促进作用，粗蛋白质和矿物质含量呈线性增加，只有马塞草呈线性增加，中性洗涤纤维、酸性洗涤纤维和半纤维素含量呈线性降低。增加氮肥用量有利于这两种草的产量、结构和化学成分。但施用150 kg N ha-1时，利用效率最高。
{"title":"Structural and production characteristics and nutritive value of two tropical grasses submitted to different levels of nitrogen","authors":"Bruno Eduardo Caxias Miranda, R. Rodrigues, C. Costa, Eduarda Castro da Silva, R. P. Lana, A. D. Jesus, Izakiel Reis Marinho, K. Costa, Ivo Ribeiro, J. S. Araújo, R. A. Araújo","doi":"10.21475/ajcs.22.16.09.p3624","DOIUrl":"https://doi.org/10.21475/ajcs.22.16.09.p3624","url":null,"abstract":"The objective of this study was to evaluate increasing levels of nitrogen on and production and nutritive value of Andropogon and Massai grasses under the edaphoclimatic conditions of the Brazil denominated Middle Nort Region. The design used was completely randomized, with sixteen replicatios. The treatments consisted of nitrogen rates: 0, 150, 300, 450 and 600 kg N ha-1 and two forages, which were evaluated independently. The grasses used were Panicum maximum cv. Massai and Andropogon gayanus cv. Kunth. For Andropogon grass, there was an effect of nitrogen fertilization on thecharacteristics: leaf elongation rate, stem elongation rate, leaf senescence rate and leaf blade final length and, in all cases, the behavior was quadratic. Nitrogen also influenced the morphogenic characteristics: leaf appearance rate, leaf elongation rate, leaf senescence rate, phyllochron, leaf blade final length, number of live leaves per tiller and It was not significant for tiller population density of Massai grass, but the behavior varied according to the characteristic, in which leaf appearance rate and number of live leaves per tiller had decreasing linear behavior, while in phyllochron it increased linearly as nitrogen doses increased. Most of the productive characteristics of the grasses had increasing linear behavior (total biomass production of forage, leaf biomass and stem biomass in Andropogon grass, while in Massai grass, only the total forage production and dead material accumulation had an increasing linear behavior with increase of N doses. Quadratic effect only for masai leaf biomass behavior and there was practically no production of stems, affecting the leaf-stem ratio ) while the highest efficiency of nitrogen utilization was achieved with the application of 150 kg N ha-1 for the two grasses. Nitrogen fertilization also favored the nutritive value of the two grasses positively, with linear increase for crude protein and mineral matter contents, only in Massai, and reduction in the contents of neutral detergent fiber, acid detergent fiber and hemicellulose of grasses. Increasing doses of nitrogen fertilization favors the production, structure and chemical composition of the two grasses. However, the highest efficiency of use is obtained with the application of 150 kg N ha-1.","PeriodicalId":74231,"journal":{"name":"Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87704308","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 : 2022-09-01DOI: 10.21475/ajcs.22.16.09.p3602
Camila Schwartz Dias, M. A. Sibillotte, G. Tiscornia, V. Severino, M. Pasa, F. Herter, P. M. Farias, Paula Conde- Innamorato
The olive tree (Olea europaea L.), a species adapted to the Mediterranean climate, has expanded into new climatic regions. Uruguay has a humid temperate climate and highly irregular climatic conditions among years. Environmental factors can be an obstacle to full production, as they affect pollination and fruit set. In this research, the phenology of five olive cultivars (Arbequina, Arbosana, Manzanilla, Picual and Koroneiki) widely cultivated in Uruguay was studied, using the BBCH phenological scale. The pollen grains of five cultivars were submitted to in vitro germination and incubated at temperatures of 0°, 10°, 15°, 20°, 25°, 30° and 40°C for 24 hours, and pollen grains germination and pollen tube length were evaluated. These temperatures were analyzed for the occurrence probability. They were based on the historical series analysis of hourly average temperature data, from September 26 to November 15 (flowering period), for the years of 1998 to 2019. Phenology results show that flowering can occur from day 268 to day 320 of the year, with cultivar 'Manzanilla' being the earliest and 'Arbosana' the latest. It was observed that the temperature of 10°C has no effect on pollen grain germination and on pollen tube growth. Moreover, the temperatures of 15 to 20°C are not very effective and the optimal temperature occurs between 25 and 30°C. In Uruguay, during flowering, temperatures between 10 and 20°C are more likely to occur. These results indicate possible causes that affect fruit set and productivity of olive trees in the field
{"title":"Low spring temperature may negatively influence olive yield","authors":"Camila Schwartz Dias, M. A. Sibillotte, G. Tiscornia, V. Severino, M. Pasa, F. Herter, P. M. Farias, Paula Conde- Innamorato","doi":"10.21475/ajcs.22.16.09.p3602","DOIUrl":"https://doi.org/10.21475/ajcs.22.16.09.p3602","url":null,"abstract":"The olive tree (Olea europaea L.), a species adapted to the Mediterranean climate, has expanded into new climatic regions. Uruguay has a humid temperate climate and highly irregular climatic conditions among years. Environmental factors can be an obstacle to full production, as they affect pollination and fruit set. In this research, the phenology of five olive cultivars (Arbequina, Arbosana, Manzanilla, Picual and Koroneiki) widely cultivated in Uruguay was studied, using the BBCH phenological scale. The pollen grains of five cultivars were submitted to in vitro germination and incubated at temperatures of 0°, 10°, 15°, 20°, 25°, 30° and 40°C for 24 hours, and pollen grains germination and pollen tube length were evaluated. These temperatures were analyzed for the occurrence probability. They were based on the historical series analysis of hourly average temperature data, from September 26 to November 15 (flowering period), for the years of 1998 to 2019. Phenology results show that flowering can occur from day 268 to day 320 of the year, with cultivar 'Manzanilla' being the earliest and 'Arbosana' the latest. It was observed that the temperature of 10°C has no effect on pollen grain germination and on pollen tube growth. Moreover, the temperatures of 15 to 20°C are not very effective and the optimal temperature occurs between 25 and 30°C. In Uruguay, during flowering, temperatures between 10 and 20°C are more likely to occur. These results indicate possible causes that affect fruit set and productivity of olive trees in the field","PeriodicalId":74231,"journal":{"name":"Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87288310","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 : 2022-09-01DOI: 10.1007/978-3-031-18814-5_10
Yihao Liu, Lianrui Zuo, Shuo Han, Yuan Xue, Jerry L Prince, Aaron Carass
The majority of deep learning (DL) based deformable image registration methods use convolutional neural networks (CNNs) to estimate displacement fields from pairs of moving and fixed images. This, however, requires the convolutional kernels in the CNN to not only extract intensity features from the inputs but also understand image coordinate systems. We argue that the latter task is challenging for traditional CNNs, limiting their performance in registration tasks. To tackle this problem, we first introduce Coordinate Translator, a differentiable module that identifies matched features between the fixed and moving image and outputs their coordinate correspondences without the need for training. It unloads the burden of understanding image coordinate systems for CNNs, allowing them to focus on feature extraction. We then propose a novel deformable registration network, im2grid, that uses multiple Coordinate Translator's with the hierarchical features extracted from a CNN encoder and outputs a deformation field in a coarse-to-fine fashion. We compared im2grid with the state-of-the-art DL and non-DL methods for unsupervised 3D magnetic resonance image registration. Our experiments show that im2grid outperforms these methods both qualitatively and quantitatively.
{"title":"Coordinate Translator for Learning Deformable Medical Image Registration.","authors":"Yihao Liu, Lianrui Zuo, Shuo Han, Yuan Xue, Jerry L Prince, Aaron Carass","doi":"10.1007/978-3-031-18814-5_10","DOIUrl":"https://doi.org/10.1007/978-3-031-18814-5_10","url":null,"abstract":"<p><p>The majority of deep learning (DL) based deformable image registration methods use convolutional neural networks (CNNs) to estimate displacement fields from pairs of moving and fixed images. This, however, requires the convolutional kernels in the CNN to not only extract intensity features from the inputs but also understand image coordinate systems. We argue that the latter task is challenging for traditional CNNs, limiting their performance in registration tasks. To tackle this problem, we first introduce Coordinate Translator, a differentiable module that identifies matched features between the fixed and moving image and outputs their coordinate correspondences without the need for training. It unloads the burden of understanding image coordinate systems for CNNs, allowing them to focus on feature extraction. We then propose a novel deformable registration network, im2grid, that uses multiple Coordinate Translator's with the hierarchical features extracted from a CNN encoder and outputs a deformation field in a coarse-to-fine fashion. We compared im2grid with the state-of-the-art DL and non-DL methods for unsupervised 3D magnetic resonance image registration. Our experiments show that im2grid outperforms these methods both qualitatively and quantitatively.</p>","PeriodicalId":74231,"journal":{"name":"Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878358/pdf/nihms-1864533.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10592880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01DOI: 10.21475/ajcs.22.16.09.p3562
T. Atmowidi, M. N. Cholis, A. Maulana, W. Priawandiputra, S. Kahono
Pummelo (Citrus maxima (Burm.) Merr.) is a type of plant which have commercial value, and at least 24 cultivars are spread across various regions in Indonesia. Some cultivars have self-incompatibility (SI) mechanisms as genetic barriers to fertilization, but this can be reduced through cross-pollination by insects. Therefore, this study aims to measure the effectiveness of wild pollinator insects, as well as human and bee pollinations in pummelo. A total of six treatments were set up, namely closed pollination or control, open treatment, human pollination using pollen from the same tree (geitonogamy) or different trees (xenogamy), as well as supplementation colony of honey bee (Apis cerana), and stingless bee (Tetragonula laeviceps). The highest increase of pummelo fruit formation was found in human-pollination (xenogamy), followed by A. cerana, T. laeviceps, open treatment, and geitonogamy pollination with 63%, 54%, 48%, 41%, and 14%, respectively. Based on the results, bees (A. cerana, T. laeviceps, Ceratina sp., Xylocopa confusa, X. latipes), fly (syrphid species), as well as butterflies (Papilio demoleus, Catopsilia pyranthe, and C. pomona) are potential pollinating agents of pummelo
柚子(Citrus maxima))是一种具有商业价值的植物，至少有24个品种分布在印度尼西亚的各个地区。一些品种具有自交不亲和机制作为受精的遗传障碍，但这可以通过昆虫异花授粉来减少。因此，本研究旨在测量野生传粉昆虫的有效性，以及人类和蜜蜂在柚中的传粉效果。共设置密闭授粉或对照、开放授粉、同树或异树授粉、补充蜜蜂(Apis cerana)和无刺蜜蜂(Tetragonula laeviceps)等6个处理。以人传粉(异种杂交)方式增加的果实形成率最高，其次是中华蜜蜂，54%，48%，41%和14%。结果表明，蜜蜂(A. cerana, T. laeviceps, Ceratina sp.， Xylocopa confusa, X. latipes)、蝇类(syphiphids)和蝴蝶(Papilio deomereus, Catopsilia pyranthe, C. pomona)是蜜柚潜在的传粉媒介
{"title":"Effectiveness of Pollinator Insects in Increasing Fruit Formation of Pummelo (Citrus maxima (Burm.) Merr.)","authors":"T. Atmowidi, M. N. Cholis, A. Maulana, W. Priawandiputra, S. Kahono","doi":"10.21475/ajcs.22.16.09.p3562","DOIUrl":"https://doi.org/10.21475/ajcs.22.16.09.p3562","url":null,"abstract":"Pummelo (Citrus maxima (Burm.) Merr.) is a type of plant which have commercial value, and at least 24 cultivars are spread across various regions in Indonesia. Some cultivars have self-incompatibility (SI) mechanisms as genetic barriers to fertilization, but this can be reduced through cross-pollination by insects. Therefore, this study aims to measure the effectiveness of wild pollinator insects, as well as human and bee pollinations in pummelo. A total of six treatments were set up, namely closed pollination or control, open treatment, human pollination using pollen from the same tree (geitonogamy) or different trees (xenogamy), as well as supplementation colony of honey bee (Apis cerana), and stingless bee (Tetragonula laeviceps). The highest increase of pummelo fruit formation was found in human-pollination (xenogamy), followed by A. cerana, T. laeviceps, open treatment, and geitonogamy pollination with 63%, 54%, 48%, 41%, and 14%, respectively. Based on the results, bees (A. cerana, T. laeviceps, Ceratina sp., Xylocopa confusa, X. latipes), fly (syrphid species), as well as butterflies (Papilio demoleus, Catopsilia pyranthe, and C. pomona) are potential pollinating agents of pummelo","PeriodicalId":74231,"journal":{"name":"Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85066267","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 : 2022-09-01DOI: 10.21475/ajcs.22.16.09.p3605
G. F. Valente, V. F. A. Silva, G. Ferraz, Daiane Rodrigues da Silva Pinto, José Nilton da Silva, L. S. Santana, Bruno Borella Anhê, T. Santiago, D. D. C. Mariano, R. Okumura, P. A. Silva
The correct seeder-fertilizer adjustment is responsible for increasing the efficiency of corn cultivation's implementation process. This work aimed to evaluate transmission system regulation of seeder-fertilizer seed deposition unit in maize crop implantation in the Eastern Amazon. The experiment was carried out after the sowing process with a seeder-fertilizer for conventional planting with a mechanical seed distributor. The treatments resulted in five size combinations of driven gears (8, 10, 12, 15, 17) with the motor gear of size 7, which resulted in the respective corn sowing densities, 64.978, 62.311, 52.444, 44.977, 38.665 plants ha-1. Each treatment consisted of a 200 m seeding strip divided into 20 plots per strip (treatment). The agronomic variables analyzed were: average Number of Days to Emergence (NDE), longitudinal distribution of plants in the standard (N), Fault (F) and Double (D) fields, Initial Plant population (IP), Final Plant population (FP), Stem Diameter (SD), Plant Height (PH), Number of Leaves (NL), Number of Ears (NE), Mass of one hundred grains (MG), Number of Grains per row (GR), Number of Ear rows (ER), Ear Length (EL), Ear Diameter (ED) and Productivity (P). Data were submitted to statistical analysis, correlation test and decision tree analysis. The decision tree showed which initial population was more important to classify the most relevant agronomic variables in corn planting. The initial stand of 62.442 plants ha-1 was the most suitable for corn in the Amazon region. There is potential to reach corn productivity of 5.14 to 5.33 t ha-1 when combined with a drive gear 12 and driven gear 7 seeder-fertilizer machine transmission system
{"title":"Corn yield components in function of the regulation of the seeder-fertilizer in a conventional planting system in amazon biome","authors":"G. F. Valente, V. F. A. Silva, G. Ferraz, Daiane Rodrigues da Silva Pinto, José Nilton da Silva, L. S. Santana, Bruno Borella Anhê, T. Santiago, D. D. C. Mariano, R. Okumura, P. A. Silva","doi":"10.21475/ajcs.22.16.09.p3605","DOIUrl":"https://doi.org/10.21475/ajcs.22.16.09.p3605","url":null,"abstract":"The correct seeder-fertilizer adjustment is responsible for increasing the efficiency of corn cultivation's implementation process. This work aimed to evaluate transmission system regulation of seeder-fertilizer seed deposition unit in maize crop implantation in the Eastern Amazon. The experiment was carried out after the sowing process with a seeder-fertilizer for conventional planting with a mechanical seed distributor. The treatments resulted in five size combinations of driven gears (8, 10, 12, 15, 17) with the motor gear of size 7, which resulted in the respective corn sowing densities, 64.978, 62.311, 52.444, 44.977, 38.665 plants ha-1. Each treatment consisted of a 200 m seeding strip divided into 20 plots per strip (treatment). The agronomic variables analyzed were: average Number of Days to Emergence (NDE), longitudinal distribution of plants in the standard (N), Fault (F) and Double (D) fields, Initial Plant population (IP), Final Plant population (FP), Stem Diameter (SD), Plant Height (PH), Number of Leaves (NL), Number of Ears (NE), Mass of one hundred grains (MG), Number of Grains per row (GR), Number of Ear rows (ER), Ear Length (EL), Ear Diameter (ED) and Productivity (P). Data were submitted to statistical analysis, correlation test and decision tree analysis. The decision tree showed which initial population was more important to classify the most relevant agronomic variables in corn planting. The initial stand of 62.442 plants ha-1 was the most suitable for corn in the Amazon region. There is potential to reach corn productivity of 5.14 to 5.33 t ha-1 when combined with a drive gear 12 and driven gear 7 seeder-fertilizer machine transmission system","PeriodicalId":74231,"journal":{"name":"Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81701558","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 : 2022-09-01Epub Date: 2022-10-12DOI: 10.1007/978-3-031-18814-5_3
Ruining Deng, Can Cui, Lucas W Remedios, Shunxing Bao, R Michael Womick, Sophie Chiron, Jia Li, Joseph T Roland, Ken S Lau, Qi Liu, Keith T Wilson, Yaohong Wang, Lori A Coburn, Bennett A Landman, Yuankai Huo
Multi-instance learning (MIL) is widely used in the computer-aided interpretation of pathological Whole Slide Images (WSIs) to solve the lack of pixel-wise or patch-wise annotations. Often, this approach directly applies "natural image driven" MIL algorithms which overlook the multi-scale (i.e. pyramidal) nature of WSIs. Off-the-shelf MIL algorithms are typically deployed on a single-scale of WSIs (e.g., 20× magnification), while human pathologists usually aggregate the global and local patterns in a multi-scale manner (e.g., by zooming in and out between different magnifications). In this study, we propose a novel cross-scale attention mechanism to explicitly aggregate inter-scale interactions into a single MIL network for Crohn's Disease (CD), which is a form of inflammatory bowel disease. The contribution of this paper is two-fold: (1) a cross-scale attention mechanism is proposed to aggregate features from different resolutions with multi-scale interaction; and (2) differential multi-scale attention visualizations are generated to localize explainable lesion patterns. By training ~250,000 H&E-stained Ascending Colon (AC) patches from 20 CD patient and 30 healthy control samples at different scales, our approach achieved a superior Area under the Curve (AUC) score of 0.8924 compared with baseline models. The official implementation is publicly available at https://github.com/hrlblab/CS-MIL.
多实例学习（MIL）被广泛应用于病理全切片图像（WSI）的计算机辅助解读，以解决缺乏像素或斑块注释的问题。这种方法通常直接应用 "自然图像驱动 "的 MIL 算法，而忽略了 WSI 的多尺度（即金字塔形）性质。现成的 MIL 算法通常部署在单一尺度的 WSI 上（如 20 倍放大率），而人类病理学家通常以多尺度的方式（如在不同放大率之间放大或缩小）汇总全局和局部模式。在本研究中，我们提出了一种新颖的跨尺度关注机制，将克罗恩病（CD）（一种炎症性肠病）的相互作用明确聚合到一个单一的 MIL 网络中。本文有两方面的贡献：(1) 提出了一种跨尺度注意力机制，将来自不同分辨率的特征与多尺度互动聚合在一起；(2) 生成了差异化多尺度注意力可视化，以定位可解释的病变模式。通过在不同尺度上对 20 名 CD 患者和 30 名健康对照样本中约 250,000 个 H&E 染色的升结肠（AC）斑块进行训练，与基线模型相比，我们的方法获得了 0.8924 的优异曲线下面积（AUC）分数。正式实施方案可在 https://github.com/hrlblab/CS-MIL 上公开获取。
{"title":"Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images.","authors":"Ruining Deng, Can Cui, Lucas W Remedios, Shunxing Bao, R Michael Womick, Sophie Chiron, Jia Li, Joseph T Roland, Ken S Lau, Qi Liu, Keith T Wilson, Yaohong Wang, Lori A Coburn, Bennett A Landman, Yuankai Huo","doi":"10.1007/978-3-031-18814-5_3","DOIUrl":"10.1007/978-3-031-18814-5_3","url":null,"abstract":"<p><p>Multi-instance learning (MIL) is widely used in the computer-aided interpretation of pathological Whole Slide Images (WSIs) to solve the lack of pixel-wise or patch-wise annotations. Often, this approach directly applies \"natural image driven\" MIL algorithms which overlook the multi-scale (i.e. pyramidal) nature of WSIs. Off-the-shelf MIL algorithms are typically deployed on a single-scale of WSIs (e.g., 20× magnification), while human pathologists usually aggregate the global and local patterns in a multi-scale manner (e.g., by zooming in and out between different magnifications). In this study, we propose a novel cross-scale attention mechanism to explicitly aggregate inter-scale interactions into a single MIL network for Crohn's Disease (CD), which is a form of inflammatory bowel disease. The contribution of this paper is two-fold: (1) a cross-scale attention mechanism is proposed to aggregate features from different resolutions with multi-scale interaction; and (2) differential multi-scale attention visualizations are generated to localize explainable lesion patterns. By training ~250,000 H&E-stained Ascending Colon (AC) patches from 20 CD patient and 30 healthy control samples at different scales, our approach achieved a superior Area under the Curve (AUC) score of 0.8924 compared with baseline models. The official implementation is publicly available at https://github.com/hrlblab/CS-MIL.</p>","PeriodicalId":74231,"journal":{"name":"Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628695/pdf/nihms-1843887.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40665891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-01DOI: 10.21475/ajcs.22.16.09.p3581
D. C. M. Pires, S. A. Asmar, J. M. Luz, M. Pasqual, R. A. L. S. Rezende, J. Dória
This study aimed at evaluating the effect of osmotic agents, sucrose, and abscisic acid on the in vitro conservation of mangaba trees by slow growth. Two experiments were carried out. Nodal segments were inoculated in the MS medium with the addition of 1) osmotic agents (15, 20, and 25 g L-1 of mannitol and 10, 20, and 40 g L-1 of sorbitol) + control; 2) sucrose (0, 10, 20 and 30 g L-1) and abscisic acid – ABA (0 and 0.5 mg L-1). After carrying out the experiments, both were performed again, this time with the addition of 2 g L-1 activated charcoal to the medium for comparison. The survival rate and number of green leaves were evaluated after 45 and 90 days. For growth recovery, the explants were transferred to a specific growth medium, consisting of MS medium supplemented with 7 g L-1 agar, 1 mg L-1 6-benzylaminopurine (BAP), 1 mg L-1 1-naphthaleneacetic acid (NAA), 2 g L-1 activated charcoal. At 60 days, survival rate, number of green leaves, number of nodes, shoot length and fresh weight of the explants were assessed. The results showed that the use of 2 g L-1 of activated charcoal improves the growth and development of the explants. The tested doses of osmotic agents also did not influence the evaluated characteristics. However, there was significant effect of osmotic agent and time on survival rate and treatment x time interaction for the number of green leaves, having been influenced also by the use of osmotic agent at 45 days, in addition to significant differences between the control and the other treatments for this characteristic. The osmotic agents were not effective in plant conservation as well as the use of ABA. According to the conditions of this study, it is recommended the use of 30 g L-1 sucrose to the culture medium for up to 90 days in a row of in vitro conservation of mangaba plants.
本研究旨在探讨渗透剂、蔗糖和脱落酸对孟加板树体外缓生长保护的影响。进行了两个实验。在MS培养基中接种节段，加入1)渗透剂(15、20、25 g L-1甘露醇和10、20、40 g L-1山梨醇)+对照;2)蔗糖(0、10、20和30 g L-1)和脱落酸- ABA(0和0.5 mg L-1)。实验完成后，再次进行实验，这次在培养基中加入2g L-1活性炭进行比较。45 d和90 d后分别测定植株成活率和绿叶数。为了恢复生长，将外植体转移到特定的生长培养基中，该培养基由MS培养基添加7 g L-1琼脂，1 mg L-1 6-氨基嘌呤(BAP)， 1 mg L-1 1-萘乙酸(NAA)， 2 g L-1活性炭组成。60 d时，测定外植体的成活率、绿叶数、节数、茎长和鲜重。结果表明，使用2 g L-1的活性炭可促进外植体的生长发育。渗透剂的测试剂量也不影响所评估的特性。然而，渗透剂和时间对存活率和处理x时间互作对绿叶数有显著影响，在45天渗透剂的使用也有影响，除了对照和其他处理在这一特性上有显著差异外。渗透剂对植物保护和ABA的利用效果不佳。根据本研究条件，推荐在培养基中添加30 g L-1蔗糖，连续培养达90天。
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Pub Date : 2022-09-01DOI: 10.21475/ajcs.22.16.09.p3632
A. H. A. Ghani, Saddam Aref Al- Dalain, Ghassab H. Tarawneh, Huda Hazim Al- Taae, Basel H Al- Tarawneh, S. Owais, Awad S Al- Ebissat, Raeda Al- Mayta, Jawad A. AL- Dala'een, M. A. Duwayri
The effects of three different irrigation treatments were tested on kernel quality (i.e. kernel size), germination rate and seedling performance of eight wheat varieties. The irrigation treatments used were as follows: (i) rainfed treatment with 262.8mm annual rainfall received during the growing season, (ii) partial irrigation (PSI) treatment receiving 482.8 mm of water (262.8mm rainfall + 220mm irrigation at anthesis) and (iii) continuous supplementary irrigation (CSI) receiving 640 mm water (262.8 mm rainfall + 377.2 mm supplementary irrigation at 2-3 weeks interval). Seven durum wheat varieties (Sham1, Omqais, Acsad65, Bani Suef6, Bani Suef4, Horani Nawawi, Dairalla6) and one bread wheat variety (Ammon) were included in this study. Split-plot design was used with three replications. The main plots were the irrigation treatments, while the sub-plots were varieties nested within irrigation treatments. Kernels weight was recorded under different irrigation treatments in addition to the germination rate parameters (mean germination time and the time to attain 10% and 50% of complete germination percentage) and seedling attributes (shoot length, maximum seminal root length, coleoptile length, shoot fresh weight and seminal root fresh weight). The thousand kernel weight (TKW) was maximum under PSI (46.21g), followed by CSI (43.20g) and rainfed treatment (41.70g). TKW was maximum in Cham1 (45.37g) and BaniSuef6 (45.22g), while the minimum TKW was recorded in Ammon bread wheat variety (39.19g). Smaller wheat kernels released under rainfed condition were notoriously faster to germinate as compared with kernels released under CSI and PSI, and consequently smaller kernels would be desirable to accelerate the time required from sowing to seedling emergence. Hourani Nawawi and DairAlla 6 gave a more vigorous seedling with longer seminal roots and larger seedling biomass, which might indicate their high adaptability to early drought. In conclusion, smaller kernels were faster in germination, which minimize the time required from germination to emergence for a good stand establishment, while heavy kernels would have seedlings with a more vigorous root system which may help the crop to withstand early drought
{"title":"Kernel quality, germination rate and seedling performance of eight wheat varieties produced under three different irrigation regimes","authors":"A. H. A. Ghani, Saddam Aref Al- Dalain, Ghassab H. Tarawneh, Huda Hazim Al- Taae, Basel H Al- Tarawneh, S. Owais, Awad S Al- Ebissat, Raeda Al- Mayta, Jawad A. AL- Dala'een, M. A. Duwayri","doi":"10.21475/ajcs.22.16.09.p3632","DOIUrl":"https://doi.org/10.21475/ajcs.22.16.09.p3632","url":null,"abstract":"The effects of three different irrigation treatments were tested on kernel quality (i.e. kernel size), germination rate and seedling performance of eight wheat varieties. The irrigation treatments used were as follows: (i) rainfed treatment with 262.8mm annual rainfall received during the growing season, (ii) partial irrigation (PSI) treatment receiving 482.8 mm of water (262.8mm rainfall + 220mm irrigation at anthesis) and (iii) continuous supplementary irrigation (CSI) receiving 640 mm water (262.8 mm rainfall + 377.2 mm supplementary irrigation at 2-3 weeks interval). Seven durum wheat varieties (Sham1, Omqais, Acsad65, Bani Suef6, Bani Suef4, Horani Nawawi, Dairalla6) and one bread wheat variety (Ammon) were included in this study. Split-plot design was used with three replications. The main plots were the irrigation treatments, while the sub-plots were varieties nested within irrigation treatments. Kernels weight was recorded under different irrigation treatments in addition to the germination rate parameters (mean germination time and the time to attain 10% and 50% of complete germination percentage) and seedling attributes (shoot length, maximum seminal root length, coleoptile length, shoot fresh weight and seminal root fresh weight). The thousand kernel weight (TKW) was maximum under PSI (46.21g), followed by CSI (43.20g) and rainfed treatment (41.70g). TKW was maximum in Cham1 (45.37g) and BaniSuef6 (45.22g), while the minimum TKW was recorded in Ammon bread wheat variety (39.19g). Smaller wheat kernels released under rainfed condition were notoriously faster to germinate as compared with kernels released under CSI and PSI, and consequently smaller kernels would be desirable to accelerate the time required from sowing to seedling emergence. Hourani Nawawi and DairAlla 6 gave a more vigorous seedling with longer seminal roots and larger seedling biomass, which might indicate their high adaptability to early drought. In conclusion, smaller kernels were faster in germination, which minimize the time required from germination to emergence for a good stand establishment, while heavy kernels would have seedlings with a more vigorous root system which may help the crop to withstand early drought","PeriodicalId":74231,"journal":{"name":"Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81415006","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 : 2022-09-01DOI: 10.21475/ajcs.22.16.09.p3617
A. D. Pino, O. Casanova, J. Hernández, V. Takata, Germán Panissa
The use of agro-industrial by-products such as biofertilizers hinders polluting discharges and allows savings commercial fertilizers. The application of vinasse (a by-product of ethanol manufacture) in sugarcane (Saccharum officinarum) production was evaluated in two soils of Uruguay (L1 and LB2). In a first ratoon crop, 150 and 300 m3 ha-1 of vinasse were applied (V150 and V300) and compared with the application of fertilizer (F) and a Control (C) with no application. Then, production and the plant’s N, P, K, Ca and Mg contents were determined. Vinasse and fertilizer applications increased sugarcane growth, as compared to C. However, there were no differences between vinasse dosses. The L1 fertilization treatment produced higher stem yield than vinasse application, whereas LB2 caused no differences. The application of vinasse at LB2 and L1 increased K uptake, exceeding the control, by 151 and 133 kg ha-1 of K, respectively, indicating that it could substitute fertilizer, while supplemental nitrogen fertilization would be required for maximum yield. The low use-efficiency of potassium (K) in vinasse treatments suggests that there was excessive consumption. Although vinasse increased soil exchangeable K, its residual effect would be insufficient for the second ratoon harvest, requiring annual applications
使用农业工业副产品，如生物肥料，阻碍了污染排放，并允许节省商业肥料。在乌拉圭的两种土壤(L1和LB2)上评价了酒糟(乙醇生产的副产物)在甘蔗生产中的应用。在第一个再生作物中，施用150和300 m3 ha-1的酒糟(V150和V300)，并与施用化肥(F)和不施用对照(C)进行比较。然后测定产量和植株的N、P、K、Ca、Mg含量。与c相比，施用酒糟和化肥能促进甘蔗生长，但酒糟用量之间没有差异。L1处理的茎产量高于酒糟处理，而LB2处理的茎产量差异不显著。在LB2和L1处理下，施酒糟分别比对照增加了151和133 kg hm -1的钾吸收量，表明酒糟可以替代化肥，但需要补充氮肥才能获得最大产量。酒糟处理中钾的利用效率较低，说明存在钾的过量消耗。虽然酒糟增加了土壤交换性钾，但其残留效应对二次收获是不够的，需要每年施用
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Multiscale multimodal medical imaging : Third International Workshop, MMMI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings
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