The ability to use induced pluripotent stem cells（i PSC）to model brain diseases is a powerful tool for unraveling mechanistic alterations in these disorders.Rodent models of brain diseases have spurred understanding...The ability to use induced pluripotent stem cells（i PSC）to model brain diseases is a powerful tool for unraveling mechanistic alterations in these disorders.Rodent models of brain diseases have spurred understanding of pathology but the concern arises that they may not recapitulate the full spectrum of neuron disruptions associated with human neuropathology.iPSC derived neurons,or other neural cell types,provide the ability to access pathology in cells derived directly from a patient＇s blood sample or skin biopsy where availability of brain tissue is limiting.Thus,utilization of iPSC to study brain diseases provides an unlimited resource for disease modelling but may also be used for drug screening for effective therapies and may potentially be used to regenerate aged or damaged cells in the future.Many brain diseases across the spectrum of neurodevelopment,neurodegenerative and neuropsychiatric are being approached by iPSC models.The goal of an iPSC based disease model is to identify a cellular phenotype that discriminates the disease-bearing cells from the control cells.In this mini-review,the importance of iPSC cell models validated for pluripotency,germline competency and function assessments is discussed.Selected examples for the variety of brain diseases that are being approached by iPSC technology to discover or establish the molecular basis of the neuropathology are discussed.展开更多
Earthquake-collapsed building identification is important in earthquake damage assessment and is evidence for mapping seismic intensity. After the May 12th Wenchuan major earthquake occurred, experts from CEODE and IP...Earthquake-collapsed building identification is important in earthquake damage assessment and is evidence for mapping seismic intensity. After the May 12th Wenchuan major earthquake occurred, experts from CEODE and IPSC collaborated to make a rapid earthquake damage assessment. A crucial task was to identify collapsed buildings from ADS40 images in the earthquake region. The difficulty was to differentiate collapsed buildings from concrete bridges, dry gravels, and landslide-induced rolling stones since they had a similar gray level range in the image. Based on the IPSC method, an improved automatic identification technique was developed and tested in the study area, a portion of Beichuan County. Final results showed that the technique’s accuracy was over 95%. Procedures and results of this experiment are presented in this article. Theory of this technique indicates that it could be applied to collapsed building identification caused by other disasters.展开更多
Background:Dengue is one of the most rapidly spreading vector-borne diseases,which is considered to be a major health concern in tropical and sub-tropical countries.It is strongly believed that the spread and abundanc...Background:Dengue is one of the most rapidly spreading vector-borne diseases,which is considered to be a major health concern in tropical and sub-tropical countries.It is strongly believed that the spread and abundance of vectors are related to climate.Construction of climate-based mathematical model that integrates meteorological factors into disease infection model becomes compelling challenge since the climate is positively associated with both incidence and vector existence.Methods:A host-vector model is constructed to simulate the dynamic of transmission.The infection rate parameter is replaced with the time-dependent coefficient obtained by optimization to approximate the daily dengue data.Further,the optimized infection rate is denoted as a function of climate variables using the Autoregressive Distributed Lag(ARDL)model.Results:The infection parameter can be extended when updated daily climates are known,and it can be useful to forecast dengue incidence.This approach provides proper prediction,even when tested in increasing or decreasing prediction windows.In addition,associations between climate and dengue are presented as a reversed slide-shaped curve for dengue-humidity and a reversed U-shaped curves for dengue-temperature and dengueprecipitation.The range of optimal temperature for infection is 24.3e30.5C.Humidity and precipitation are positively associated with dengue upper the threshold 70%at lag 38 days and below 50 mm at lag 50 days,respectively.Conclusion:Identification of association between climate and dengue is potentially useful to counter the high risk of dengue and strengthen the public health system and reduce the increase of the dengue burden.展开更多
An optimal validation of a thematic map would ideally require in-situ observations of a large sample of units specifically conceived for the map under validation.This is often not possible due to budget limitations.Th...An optimal validation of a thematic map would ideally require in-situ observations of a large sample of units specifically conceived for the map under validation.This is often not possible due to budget limitations.The alternative can be using photo-interpretation of high or very high resolution images instead of in-situ observations or using available data sets that do not fully comply with the ideal characteristics:unit size,reference date or sampling plan.This paper illustrates some examples of use of available data in the European Union.For land cover maps,the best existing data set is probably Land Use/Cover Areaframe Survey(LUCAS)that has been conducted by Eurostat on four occasions since 2001.Because LUCAS is based on systematic sampling,advantages and limitations of systematic sampling are discussed.A fine-scale population density map is presented as an example of a situation in which reference data on a statistical sample cannot be collected.展开更多
Background Alzheimer’s disease(AD)is the most common neurodegenerative disorder in the elderly,resulting in gradual destruction of cognitive abilities.Research on the development of various AD treatments is underway;...Background Alzheimer’s disease(AD)is the most common neurodegenerative disorder in the elderly,resulting in gradual destruction of cognitive abilities.Research on the development of various AD treatments is underway;however,no definitive treatment has been developed yet.Herein,we present induced pluripotent stem cell(iPSC)-derived cortical neural stem cell secretome(CNSC-SE)as a new treatment candidate for AD and explore its efficacy.Methods We first assessed the effects of CNSC-SE treatment on neural maturation and electromagnetic signal during cortical nerve cell differentiation.Then to confirm the efficacy in vivo,CNSC-SE was administered to the 5×FAD mouse model through the nasal cavity(5μg/g,once a week,4 weeks).The cell-mediated effects on nerve recovery,amyloid beta(Aβ)plaque aggregation,microglial and astrocyte detection in the brain,and neuroinflammatory responses were investigated.Metabolomics analysis of iPSC-derived CNSC-SE revealed that it contained components that could exert neuro-protective effects or amplify cognitive restorative effects.Results Human iPSC-derived CNSC-SE increased neuronal proliferation and dendritic structure formation in vitro.Furthermore,CNSC-SE-treated iPSC-derived cortical neurons acquired electrical network activity and action potential bursts.The 5×FAD mice treated with CNSC-SE showed memory restoration and reduced Aβplaque accumulation.Conclusions Our findings suggest that the iPSC-derived CNSC-SE may serve as a potential,non-invasive therapeutic option for AD in reducing amyloid infiltration and restoring memory.展开更多
This paper presents the results of the application of mathematical morphology for the automatic quantification of the number of tents and the detection of changes in the Menik Farm IDP camp in Sri Lanka.The tents were...This paper presents the results of the application of mathematical morphology for the automatic quantification of the number of tents and the detection of changes in the Menik Farm IDP camp in Sri Lanka.The tents were retrieved using an area-constraint top-hat opening applied to WorldView-1 data.The counting of tents was based on the centroids of the automatically detected structures indicating an overall number of 25,150 tents on the 26 June 2009.The comparison with a visual interpretation produced an R2 of 0.97 with an error of 1.25%.In addition,an automated detection of changes inside a camp area was conducted.The comparison of the satellite image of 26 June 2009(WorldView-1)and an image of 28 February 2010(GeoEye-1)is based on mutual(mixed)information metric,after using morphological image processing techniques and previously specified criterion.Changes are observed on a terrain of around 15.2%of the total camp area and 3813 of previously detected structures disappeared in a period of 8 months.展开更多
Dengue virus infection is a leading health problem in many endemic countries,including Indonesia,characterized by high morbidity and wide spread.It is known that the risk factors that influence the transmission intens...Dengue virus infection is a leading health problem in many endemic countries,including Indonesia,characterized by high morbidity and wide spread.It is known that the risk factors that influence the transmission intensity vary among different age groups,which can have implications for dengue control strategies.A time-dependent four−age structure model of dengue transmission was constructed in this study.A vaccination scenario as control strategy was also applied to one of the age groups.Daily incidence data of dengue cases from Santo Borromeus Hospital,Bandung,Indonesia,from 2014 to 2016 was used to estimate the infection rate.We used two indicators to identify the changes in dengue transmission intensity for this period in each age group:the annual force of infection(FoI)and the effective reproduction ratio based on a time-dependent transmission rate.The results showed that the yearly FoI of children(age 0–4 years)increased significantly from 2014 to 2015,at 10.08%.Overall,the highest FoI before and after vaccination occurred in youngsters(age 5–14 years),with a FoI of about 6%per year.In addition,based on the daily effective reproduction ratio,it was found that vaccination of youngsters could reduce the number of dengue cases in Bandung city faster than vaccination of children.展开更多
文摘The ability to use induced pluripotent stem cells（i PSC）to model brain diseases is a powerful tool for unraveling mechanistic alterations in these disorders.Rodent models of brain diseases have spurred understanding of pathology but the concern arises that they may not recapitulate the full spectrum of neuron disruptions associated with human neuropathology.iPSC derived neurons,or other neural cell types,provide the ability to access pathology in cells derived directly from a patient＇s blood sample or skin biopsy where availability of brain tissue is limiting.Thus,utilization of iPSC to study brain diseases provides an unlimited resource for disease modelling but may also be used for drug screening for effective therapies and may potentially be used to regenerate aged or damaged cells in the future.Many brain diseases across the spectrum of neurodevelopment,neurodegenerative and neuropsychiatric are being approached by iPSC models.The goal of an iPSC based disease model is to identify a cellular phenotype that discriminates the disease-bearing cells from the control cells.In this mini-review,the importance of iPSC cell models validated for pluripotency,germline competency and function assessments is discussed.Selected examples for the variety of brain diseases that are being approached by iPSC technology to discover or establish the molecular basis of the neuropathology are discussed.
基金Supported by the National Basic Research Program of China (Grant No. 2009 CB723906)Knowledge Innovation Program of the Chinese Academy of Sciences (Grant No. KKCX1-YW-01)
文摘Earthquake-collapsed building identification is important in earthquake damage assessment and is evidence for mapping seismic intensity. After the May 12th Wenchuan major earthquake occurred, experts from CEODE and IPSC collaborated to make a rapid earthquake damage assessment. A crucial task was to identify collapsed buildings from ADS40 images in the earthquake region. The difficulty was to differentiate collapsed buildings from concrete bridges, dry gravels, and landslide-induced rolling stones since they had a similar gray level range in the image. Based on the IPSC method, an improved automatic identification technique was developed and tested in the study area, a portion of Beichuan County. Final results showed that the technique’s accuracy was over 95%. Procedures and results of this experiment are presented in this article. Theory of this technique indicates that it could be applied to collapsed building identification caused by other disasters.
基金This work was partially supported by the Indonesian Ministry of Research and Technology(Ristekdikti)or National Agency for Research and Innovation Grant 2020The second author was supported by the Indonesian Ministry of Education and Culture(Kemendikbud)through BU programThe third author was partially supported by the PMDSU grant no.1511/E4.4/2015.
文摘Background:Dengue is one of the most rapidly spreading vector-borne diseases,which is considered to be a major health concern in tropical and sub-tropical countries.It is strongly believed that the spread and abundance of vectors are related to climate.Construction of climate-based mathematical model that integrates meteorological factors into disease infection model becomes compelling challenge since the climate is positively associated with both incidence and vector existence.Methods:A host-vector model is constructed to simulate the dynamic of transmission.The infection rate parameter is replaced with the time-dependent coefficient obtained by optimization to approximate the daily dengue data.Further,the optimized infection rate is denoted as a function of climate variables using the Autoregressive Distributed Lag(ARDL)model.Results:The infection parameter can be extended when updated daily climates are known,and it can be useful to forecast dengue incidence.This approach provides proper prediction,even when tested in increasing or decreasing prediction windows.In addition,associations between climate and dengue are presented as a reversed slide-shaped curve for dengue-humidity and a reversed U-shaped curves for dengue-temperature and dengueprecipitation.The range of optimal temperature for infection is 24.3e30.5C.Humidity and precipitation are positively associated with dengue upper the threshold 70%at lag 38 days and below 50 mm at lag 50 days,respectively.Conclusion:Identification of association between climate and dengue is potentially useful to counter the high risk of dengue and strengthen the public health system and reduce the increase of the dengue burden.
文摘An optimal validation of a thematic map would ideally require in-situ observations of a large sample of units specifically conceived for the map under validation.This is often not possible due to budget limitations.The alternative can be using photo-interpretation of high or very high resolution images instead of in-situ observations or using available data sets that do not fully comply with the ideal characteristics:unit size,reference date or sampling plan.This paper illustrates some examples of use of available data in the European Union.For land cover maps,the best existing data set is probably Land Use/Cover Areaframe Survey(LUCAS)that has been conducted by Eurostat on four occasions since 2001.Because LUCAS is based on systematic sampling,advantages and limitations of systematic sampling are discussed.A fine-scale population density map is presented as an example of a situation in which reference data on a statistical sample cannot be collected.
基金supported by a grant from the Basic Science Research Program through the National Research Foundation of Korea(NRF),which was funded by the Ministry of Science,ICT(MSIT)of the Korean government(Grant No.NRF-2020R1A2C3004123,NRF-2019R1A5A2027588,and NFR-2021R1C1C2004688)supported by a grant from Catholic Institute of Cell Therapy in 2023(CRC)and by the Basic Medical Science Facilitation Program funded by the Catholic Education Foundation through the Catholic Medical Center of the Catholic University of Korea.
文摘Background Alzheimer’s disease(AD)is the most common neurodegenerative disorder in the elderly,resulting in gradual destruction of cognitive abilities.Research on the development of various AD treatments is underway;however,no definitive treatment has been developed yet.Herein,we present induced pluripotent stem cell(iPSC)-derived cortical neural stem cell secretome(CNSC-SE)as a new treatment candidate for AD and explore its efficacy.Methods We first assessed the effects of CNSC-SE treatment on neural maturation and electromagnetic signal during cortical nerve cell differentiation.Then to confirm the efficacy in vivo,CNSC-SE was administered to the 5×FAD mouse model through the nasal cavity(5μg/g,once a week,4 weeks).The cell-mediated effects on nerve recovery,amyloid beta(Aβ)plaque aggregation,microglial and astrocyte detection in the brain,and neuroinflammatory responses were investigated.Metabolomics analysis of iPSC-derived CNSC-SE revealed that it contained components that could exert neuro-protective effects or amplify cognitive restorative effects.Results Human iPSC-derived CNSC-SE increased neuronal proliferation and dendritic structure formation in vitro.Furthermore,CNSC-SE-treated iPSC-derived cortical neurons acquired electrical network activity and action potential bursts.The 5×FAD mice treated with CNSC-SE showed memory restoration and reduced Aβplaque accumulation.Conclusions Our findings suggest that the iPSC-derived CNSC-SE may serve as a potential,non-invasive therapeutic option for AD in reducing amyloid infiltration and restoring memory.
文摘This paper presents the results of the application of mathematical morphology for the automatic quantification of the number of tents and the detection of changes in the Menik Farm IDP camp in Sri Lanka.The tents were retrieved using an area-constraint top-hat opening applied to WorldView-1 data.The counting of tents was based on the centroids of the automatically detected structures indicating an overall number of 25,150 tents on the 26 June 2009.The comparison with a visual interpretation produced an R2 of 0.97 with an error of 1.25%.In addition,an automated detection of changes inside a camp area was conducted.The comparison of the satellite image of 26 June 2009(WorldView-1)and an image of 28 February 2010(GeoEye-1)is based on mutual(mixed)information metric,after using morphological image processing techniques and previously specified criterion.Changes are observed on a terrain of around 15.2%of the total camp area and 3813 of previously detected structures disappeared in a period of 8 months.
基金Part of the research is funded by the Indonesian PDUPT RistekBrin 2021(No:120M/IT1.C02/TA.00/2021)the Indonesian Penelitian Disertasi Doktor RistekBrin 2021(No:120J/IT1.C02/TA.00/2021).
文摘Dengue virus infection is a leading health problem in many endemic countries,including Indonesia,characterized by high morbidity and wide spread.It is known that the risk factors that influence the transmission intensity vary among different age groups,which can have implications for dengue control strategies.A time-dependent four−age structure model of dengue transmission was constructed in this study.A vaccination scenario as control strategy was also applied to one of the age groups.Daily incidence data of dengue cases from Santo Borromeus Hospital,Bandung,Indonesia,from 2014 to 2016 was used to estimate the infection rate.We used two indicators to identify the changes in dengue transmission intensity for this period in each age group:the annual force of infection(FoI)and the effective reproduction ratio based on a time-dependent transmission rate.The results showed that the yearly FoI of children(age 0–4 years)increased significantly from 2014 to 2015,at 10.08%.Overall,the highest FoI before and after vaccination occurred in youngsters(age 5–14 years),with a FoI of about 6%per year.In addition,based on the daily effective reproduction ratio,it was found that vaccination of youngsters could reduce the number of dengue cases in Bandung city faster than vaccination of children.
