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Article ; Online: Model-based analysis of multi-UAV path planning for surveying postdisaster building damage.

Nagasawa, Ryosuke / Mas, Erick / Moya, Luis / Koshimura, Shunichi

2021 Volume 11, Issue 1, Page(s) 18588

Abstract: Emergency responders require accurate and comprehensive data to make informed decisions. Moreover, the data should be acquired and analyzed swiftly to ensure an efficient response. One of the tasks at hand post-disaster is damage assessment within the ... ...

Abstract	Emergency responders require accurate and comprehensive data to make informed decisions. Moreover, the data should be acquired and analyzed swiftly to ensure an efficient response. One of the tasks at hand post-disaster is damage assessment within the impacted areas. In particular, building damage should be assessed to account for possible casualties, and displaced populations, to estimate long-term shelter capacities, and to assess the damage to services that depend on essential infrastructure (e.g. hospitals, schools, etc.). Remote sensing techniques, including satellite imagery, can be used to gathering such information so that the overall damage can be assessed. However, specific points of interest among the damaged buildings need higher resolution images and detailed information to assess the damage situation. These areas can be further assessed through unmanned aerial vehicles and 3D model reconstruction. This paper presents a multi-UAV coverage path planning method for the 3D reconstruction of postdisaster damaged buildings. The methodology has been implemented in NetLogo3D, a multi-agent model environment, and tested in a virtual built environment in Unity3D. The proposed method generates camera location points surrounding targeted damaged buildings. These camera location points are filtered to avoid collision and then sorted using the K-means or the Fuzzy C-means methods. After clustering camera location points and allocating these to each UAV unit, a route optimization process is conducted as a multiple traveling salesman problem. Final corrections are made to paths to avoid obstacles and give a resulting path for each UAV that balances the flight distance and time. The paper presents the details of the model and methodologies, and an examination of the texture resolution obtained from the proposed method and the conventional overhead flight with the nadir-looking method used in 3D mappings. The algorithm outperforms the conventional method in terms of the quality of the generated 3D model.
Language	English
Publishing date	2021-09-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-021-97804-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Sensitive and selective alternariol analysis by a newly developed monoclonal antibody-based immunoassay.

Addante-Moya, Luis G / Abad-Fuentes, Antonio / Agulló, Consuelo / Abad-Somovilla, Antonio / Mercader, Josep V

Talanta

2023 Volume 267, Page(s) 125263

Abstract: Alternariol is a toxic secondary metabolite produced by Alternaria fungi. Nowadays, this mycotoxin can be found in many products of plant origin at concerning concentrations. The aim of the present study was to develop a highly sensitive and selective ... ...

Abstract	Alternariol is a toxic secondary metabolite produced by Alternaria fungi. Nowadays, this mycotoxin can be found in many products of plant origin at concerning concentrations. The aim of the present study was to develop a highly sensitive and selective immunochemical method for the analysis of alternariol. To this end, hapten synthesis was carried out from the scratch and specific high-affinity monoclonal antibodies to alternariol were generated by using, for the first time, alternariol bioconjugates with unambiguous linker tethering sites. A novel indirect enzyme-linked immunosorbent assay that incorporated a rationally designed heterologous conjugate was developed. The optimized assay showed an outstanding half-maximal inhibition concentration for alternariol below 0.04 ng/mL, and no cross-reactivity with alternariol monomethyl ether was observed. Very good recovery values and coefficients of variation were obtained from the analysis of alternariol-fortified fruit and cereal flour samples. Finally, alternariol was quantitatively determined in pears that had been previously infected with Alternaria alternata, showing excellent correlation with liquid chromatography results.
MeSH term(s)	Antibodies, Monoclonal ; Chromatography, Liquid ; Lactones/analysis ; Enzyme-Linked Immunosorbent Assay ; Fruit/chemistry ; Mycotoxins/analysis
Chemical Substances	Antibodies, Monoclonal ; alternariol (KN9L4260JW) ; Lactones ; Mycotoxins
Language	English
Publishing date	2023-10-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1500969-5
ISSN	1873-3573 ; 0039-9140
ISSN (online)	1873-3573
ISSN	0039-9140
DOI	10.1016/j.talanta.2023.125263
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Correction: Addante-Moya et al. Assessment of the Optimum Linker Tethering Site of Alternariol Haptens for Antibody Generation and Immunoassay Development.

Addante-Moya, Luis G / Abad-Somovilla, Antonio / Abad-Fuentes, Antonio / Agulló, Consuelo / Mercader, Josep V

Toxins

2023 Volume 15, Issue 2

Abstract: In the original publication [ ... ]. ...

Abstract	In the original publication [...].
Language	English
Publishing date	2023-02-16
Publishing country	Switzerland
Document type	Published Erratum
ZDB-ID	2518395-3
ISSN	2072-6651 ; 2072-6651
ISSN (online)	2072-6651
ISSN	2072-6651
DOI	10.3390/toxins15020162
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping Framework

Okada, Genki / Moya, Luis / Mas, Erick / Koshimura, Shunichi

Remote Sensing. 2021 Apr. 05, v. 13, no. 7

2021

Abstract: When flooding occurs, Synthetic Aperture Radar (SAR) imagery is often used to identify flood extent and the affected buildings for two reasons: (i) for early disaster response, such as rescue operations, and (ii) for flood risk analysis. Furthermore, the ...

Abstract	When flooding occurs, Synthetic Aperture Radar (SAR) imagery is often used to identify flood extent and the affected buildings for two reasons: (i) for early disaster response, such as rescue operations, and (ii) for flood risk analysis. Furthermore, the application of machine learning has been valuable for the identification of damaged buildings. However, the performance of machine learning depends on the number and quality of training data, which is scarce in the aftermath of a large scale disaster. To address this issue, we propose the use of fragmentary but reliable news media photographs at the time of a disaster and use them to detect the whole extent of the flooded buildings. As an experimental test, the flood occurred in the town of Mabi, Japan, in 2018 is used. Five hand-engineered features were extracted from SAR images acquired before and after the disaster. The training data were collected based on news photos. The date release of the photographs were considered to assess the potential role of news information as a source of training data. Then, a discriminant function was calibrated using the training data and the support vector machine method. We found that news information taken within 24 h of a disaster can classify flooded and nonflooded buildings with about 80% accuracy. The results were also compared with a standard unsupervised learning method and confirmed that training data generated from news media photographs improves the accuracy obtained from unsupervised classification methods. We also provide a discussion on the potential role of news media as a source of reliable information to be used as training data and other activities associated to early disaster response.
Keywords	Japan ; risk analysis ; support vector machines ; synthetic aperture radar
Language	English
Dates of publication	2021-0405
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
Note	NAL-light
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs13071401
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Species trait diversity sustains multiple dietary nutrients supplied by freshwater fisheries.

Heilpern, Sebastian A / Herrera-R, Guido A / Fiorella, Kathryn J / Moya, Luis / Flecker, Alexander S / McIntyre, Peter B

Ecology letters

2023 Volume 26, Issue 11, Page(s) 1887–1897

Abstract: Species, through their traits, influence how ecosystems simultaneously sustain multiple functions. However, it is unclear how trait diversity sustains the multiple contributions biodiversity makes to people. Freshwater fisheries nourish hundreds of ... ...

Abstract	Species, through their traits, influence how ecosystems simultaneously sustain multiple functions. However, it is unclear how trait diversity sustains the multiple contributions biodiversity makes to people. Freshwater fisheries nourish hundreds of millions of people globally, but overharvesting and river fragmentation are increasingly affecting catches. We analyse how loss of nutritional trait diversity in consumed fish portfolios affects the simultaneous provisioning of six essential dietary nutrients using household data from the Amazon and Tonlé Sap, two of Earth's most productive and diverse freshwater fisheries. We find that fish portfolios with high trait diversity meet higher thresholds of required daily intakes for a greater variety of nutrients with less fish biomass. This beneficial biodiversity effect is driven by low redundancy in species nutrient content profiles. Our findings imply that sustaining the dietary contributions fish make to people given declining biodiversity could require more biomass and ultimately exacerbate fishing pressure in already-stressed ecosystems.
MeSH term(s)	Humans ; Animals ; Ecosystem ; Fisheries ; Biomass ; Biodiversity ; Fresh Water ; Nutrients ; Fishes
Language	English
Publishing date	2023-09-06
Publishing country	England
Document type	Journal Article
ZDB-ID	1441608-6
ISSN	1461-0248 ; 1461-023X
ISSN (online)	1461-0248
ISSN	1461-023X
DOI	10.1111/ele.14299
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Assessment of the Optimum Linker Tethering Site of Alternariol Haptens for Antibody Generation and Immunoassay Development.

Addante-Moya, Luis G / Abad-Somovilla, Antonio / Abad-Fuentes, Antonio / Agulló, Consuelo / Mercader, Josep V

Toxins

2021 Volume 13, Issue 12

Abstract: Immunochemical methods for mycotoxin analysis require antigens with well-defined structures and antibodies with outstanding binding properties. Immunoreagents for the mycotoxins alternariol and/or alternariol monomethyl ether have typically been obtained ...

Abstract	Immunochemical methods for mycotoxin analysis require antigens with well-defined structures and antibodies with outstanding binding properties. Immunoreagents for the mycotoxins alternariol and/or alternariol monomethyl ether have typically been obtained with chemically uncharacterized haptens, and antigen conjugates have most likely been prepared with mixtures of functionalized molecules. For the first time, total synthesis was performed, in the present study, to obtain two haptens with opposite linker attachment locations. The functionalized synthetic haptens were purified and deeply characterized by different spectrometric methods, allowing the preparation of bioconjugates with unequivocal structures. Direct and indirect competitive enzyme-linked immunosorbent assays, using homologous and heterologous conjugates, were employed to extensively evaluate the generated immunoreagents. Antibodies with high affinity were raised from conjugates of both haptens, and a structure-activity relationship between the synthetic haptens and the specificity of the generated antibodies could be established. These results pave the way for the development of novel highly sensitive immunoassays selective of one or two of these
MeSH term(s)	Antibody Formation/drug effects ; Binding Sites, Antibody/drug effects ; Haptens/chemistry ; Haptens/immunology ; Immunoassay/methods ; Immunologic Tests ; Lactones/chemistry ; Lactones/immunology ; Molecular Structure ; Mycotoxins/chemistry ; Mycotoxins/immunology
Chemical Substances	Haptens ; Lactones ; Mycotoxins
Language	English
Publishing date	2021-12-10
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2518395-3
ISSN	2072-6651 ; 2072-6651
ISSN (online)	2072-6651
ISSN	2072-6651
DOI	10.3390/toxins13120883
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Drawback in the Change Detection Approach: False Detection during the 2018 Western Japan Floods

Moya, Luis / Endo, Yukio / Okada, Genki / Koshimura, Shunichi / Mas, Erick

Remote Sensing. 2019 Oct. 05, v. 11, no. 19

2019

Abstract: Synthetic aperture radar (SAR) images have been used to map flooded areas with great success. Flooded areas are often identified by detecting changes between a pair of images recorded before and after a certain flood. During the 2018 Western Japan Floods, ...

Abstract	Synthetic aperture radar (SAR) images have been used to map flooded areas with great success. Flooded areas are often identified by detecting changes between a pair of images recorded before and after a certain flood. During the 2018 Western Japan Floods, the change detection method generated significant misclassifications for agricultural targets. To evaluate whether such a situation could be repeated in future events, this paper examines and identifies the causes of the misclassifications. We concluded that the errors occurred because of the following. (i) The use of only a single pair of SAR images from before and after the floods. (ii) The unawareness of the dynamics of the backscattering intensity through time in agricultural areas. (iii) The effect of the wavelength on agricultural targets. Furthermore, it is highly probable that such conditions might occur in future events. Our conclusions are supported by a field survey of 35 paddy fields located within the misclassified area and the analysis of Sentinel-1 time series data. In addition, in this paper, we propose a new parameter, which we named “conditional coherence”, that can be of help to overcome the referred issue. The new parameter is based on the physical mechanism of the backscattering on flooded and non-flooded agricultural targets. The performance of the conditional coherence as an input of discriminant functions to identify flooded and non-flooded agricultural targets is reported as well.
Keywords	floods ; paddies ; remote sensing ; surveys ; synthetic aperture radar ; time series analysis ; wavelengths ; Japan
Language	English
Dates of publication	2019-1005
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs11192320
Database	NAL-Catalogue (AGRICOLA)

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Article: Detecting urban changes using phase correlation and l1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami

Moya, Luis / Muhari, Abdul / Adriano, Bruno / Koshimura, Shunichi / Mas, Erick / Marval-Perez, Luis R / Yokoya, Naoto

Remote sensing of environment. 2020 June 01, v. 242

2020

Abstract: Change detection between images is a procedure used in many applications of remote sensing data. Among these applications, the identification of damaged infrastructures in urban areas due to a large-scale disaster is a task that is crucial for ... ...

Abstract	Change detection between images is a procedure used in many applications of remote sensing data. Among these applications, the identification of damaged infrastructures in urban areas due to a large-scale disaster is a task that is crucial for distributing relief, quantifying losses, and rescue purposes. A crucial consideration for change detection is that the images must be co-registered precisely to avoid errors resulting from misalignments. An essential consideration is that some large-magnitude earthquakes produce very complex distortions of the ground surface; therefore, a pair of images recorded before and after a particular earthquake cannot be co-registered accurately. In this study, we intend to identify changes between images that are not co-registered. The proposed procedure is based on the use of phase correlation, which shows different patterns in changed and non-changed areas. A careful study of the properties of phase correlation suggests that it is robust against misalignments between images. However, previous studies showed that, in areas with no-changes, the signal power in the phase correlation is not concentrated in a single component, but rather in several components. Thus, we study the performance of the l1-regularized logistic regression classifier to identify the relevant components of phase correlation and learn to detect non-changed and changes areas. An empirical evaluation consisting of identifying the changes between pre-event and post-event images corresponding to the 2018 Sulawesi Indonesia earthquake-tsunami was performed for this purpose. Pairs of visible and near-infrared (VNIR) spectral bands of medium-resolution were used to compute the phase correlation to set feature space. The phase correlation-based feature space consisted of 484 features. We evaluate the proposed procedure using a damage inventory performed from visual inspection of optical images of 0.5-m resolution. A third-party provided the referred inventory. Because of the limitation of medium-resolution imagery, the different damage levels in the damage inventory were merged into a binary class: “changed” and “non-changed”. The results demonstrate that the proposed procedure efficiently reproduced 85 ± 6% of the damage inventory. Furthermore, our results identified tsunami-affected areas that were not previously identified by visual inspection.
Keywords	case studies ; earthquakes ; infrastructure ; models ; regression analysis ; remote sensing ; spatial data ; urban areas ; Indonesia
Language	English
Dates of publication	2020-0601
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	431483-9
ISSN	0034-4257
ISSN	0034-4257
DOI	10.1016/j.rse.2020.111743
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Substitution of inland fisheries with aquaculture and chicken undermines human nutrition in the Peruvian Amazon.

Heilpern, Sebastian A / Fiorella, Kathryn / Cañas, Carlos / Flecker, Alexander S / Moya, Luis / Naeem, Shahid / Sethi, Suresh A / Uriarte, Maria / DeFries, Ruth

Nature food

2021 Volume 2, Issue 3, Page(s) 192–197

Abstract: With declining capture fisheries production, maintaining nutrient supplies largely hinges on substituting wild fish with economically comparable farmed animals. Although such transitions are increasingly commonplace across global inland and coastal ... ...

Abstract	With declining capture fisheries production, maintaining nutrient supplies largely hinges on substituting wild fish with economically comparable farmed animals. Although such transitions are increasingly commonplace across global inland and coastal communities, their nutritional consequences are unknown. Here, using human demographic and health information, and fish nutrient composition data from the Peruvian Amazon, we show that substituting wild inland fisheries with chicken and aquaculture has the potential to exacerbate iron deficiencies and limit essential fatty acid supplies in a region already experiencing high prevalence of anaemia and malnutrition. Substituting wild fish with chicken, however, can increase zinc and protein supplies. Chicken and aquaculture production also increase greenhouse gas emissions, agricultural land use and eutrophication. Thus, policies that enable access to wild fisheries and their sustainable management while improving the quality, diversity and environmental impacts of farmed species will be instrumental in ensuring healthy and sustainable food systems.
Language	English
Publishing date	2021-03-19
Publishing country	England
Document type	Journal Article
ISSN	2662-1355
ISSN (online)	2662-1355
DOI	10.1038/s43016-021-00242-8
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Comparing in situ removal strategies for improving styrene bioproduction

McKenna, Rebekah / Moya, Luis / McDaniel, Matthew / Nielsen, David R

Bioprocess and biosystems engineering. 2015 Jan., v. 38, no. 1

2015

Abstract: As an important conventional monomer compound, the biological production of styrene carries significant promise with respect to creating novel sustainable materials. Since end-product toxicity presently limits styrene production by previously engineered ... ...

Abstract	As an important conventional monomer compound, the biological production of styrene carries significant promise with respect to creating novel sustainable materials. Since end-product toxicity presently limits styrene production by previously engineered Escherichia coli, in situ product removal by both solvent extraction and gas stripping were explored as process-based strategies for circumventing its inhibitory effects. In solvent extraction, the addition of bis(2-ethylhexyl)phthalate offered the greatest productivity enhancement, allowing net volumetric production of 836 ± 64 mg/L to be reached, representing a 320 % improvement over single-phase cultures. Gas stripping rates, meanwhile, were controlled by rates of bioreactor agitation and, to a greater extent, aeration. A periodic gas stripping protocol ultimately enabled up to 561 ± 15 mg/L styrene to be attained. Lastly, by relieving the effects of styrene toxicity, new insight was gained regarding subsequent factors limiting its biosynthesis in E. coli and strategies for future strain improvement are discussed.
Keywords	Escherichia coli ; aeration ; agitation ; biological production ; bioreactors ; biosynthesis ; phthalates ; solvents ; styrene ; toxicity
Language	English
Dates of publication	2015-01
Size	p. 165-174.
Publishing place	Springer-Verlag
Document type	Article
ZDB-ID	1476357-6
ISSN	1432-0797 ; 1615-7605 ; 1615-7591
ISSN (online)	1432-0797 ; 1615-7605
ISSN	1615-7591
DOI	10.1007/s00449-014-1255-9
Database	NAL-Catalogue (AGRICOLA)

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