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Effects of Arsenic on Nutrient Accumulation and Distribution in Selected Ornamental Plants

Agricultural Sciences 2015年第12期6卷 1513-1531页

作者： Stewart T. Reed tomas ayala-silva Christopher B. Dunn Garry G. Gordon USDA Agricultural Research Service Subtropical Horticulture Research Station Miami FL USA Department of Homeland Security U.S. Customs and Border Protection Miami Cargo Clearance Center Miami FL USA

In Miami, Florida, 95% of residential and 33% commercial soils exceed the Florida Department of Environmental Protection goals for cleanup of arsenic contamination. Ornamental plants have not been fully investigated as a mechanism for phytoremediation of low level As contaminated soil. This study evaluates nutrient uptake by ornamental plants grown in a hydroponic system containing concentrations of 0, 10, 20, 30, 40, 50 or 70 uM As (0.0, 0.75, 1.5, 3.0, 3.75, 5.25 mg·L-1 As, respectively). Uptake of Ca, K, Mg and Mo was likely influenced by the toxic effect of As on root functions. Arsenic had little effect on Ca, K and Mg transportation to the shoot at any but the highest As exposure rate. Tissue P concentration was similar to or higher than that found in controls and As competition with P uptake occurred at 70 uM As only. Tissue sulfur initially increased then subsequently decreased at 70 uM As where uptake could no longer supply enough S for both detoxification and normal metabolic needs. The effect of As on plant B was likely a result of membrane leakage and overall tissue damage leading to a reduction in transpiration. Arsenic induced Fe deficiency was likely the primary cause of chlorosis;however, As induced reduction in Zn, Mn or Mg contributed to chlorosis. Copper use in cellular functions was very efficient;nevertheless, Cu deficiency was one of the initial effects of As toxicity. Differences in mineral uptake reflect the plant’s attempt to detoxify As (i.e. increase in S for S-containing As chelators), mitigate damage to the cell (i.e. Ca to repair leaky menbranes) or continue cellular functions through alternative pathways (i.e. Fe superoxide dismutases to replace the function of Cu/ZnSOD).

关键词： Arsenic Micronutrients Secondary Nutrients Iris Marigold Sunflower Switchgrass

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Techniques of Remote Sensing and GIS as Tools for Visualizing Impact of Climate Change-Induced Flood in the Southern African Region

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American Journal of Climate Change 2017年第2期6卷 306-327页

作者： Yaw A.Twumasi Edmund C.Merem tomas ayala-silva Albert Osei Brilliant M.Petja Kia Alexander Department of Urban and Regional Planning Jackson State UniversityJacksonMSUSA USDA-ARS Tropical Agriculture Research Station MayaguezPuerto Rico Department of Mathematics and Computer Sciences Oakwood UniversityHuntsvilleALUSA Water Research Commission(WRC)Private Bag X03 GezinaSouth Africa Texas Department of Agriculture(TDA) DallasTXUSA

Flooding is a major problem facing Southern African region. The region has been experiencing flood for the past two decades. This flood event has been exacerbated in recent years by global weather pattern known as La Ni?a which cools ocean waters in the equatorial Pacific and changes rainfall patterns across the world. This change in weather pattern has resulted in increased rainfall over Southern Africa causing flash floods resulting in extensive socioeconomic loses, casualties and environmental damage. This study employs remote sensing and geographical information systems (GIS) data to visualize the impact of climate change caused by flooding in the Southern African region in order to assist decision makers’ plans for future occurrences. To achieve these objectives, the study used Digital Elevation Model (DEM), temporal Landsat Enhanced Thematic Mapper Plus (ETM+) and Moderate Resolution Imaging Spectroradiometer (MODIS) satellites data obtained from the United States Geological Survey (USGS) and NASA’s Earth Observatory websites in order to show the spatial dimensions of the damage and the flooded area. Results of the study revealed notable damages to social and natural environments as well as flood risk zones and watercourses in the study area. The paper concludes by outlining policy recommendations in the form of the need for building drainage ditches on the flat plains identified in this study to accommodate flood flows, the design of a comprehensive Regional Emergency Information System (REIS) with support from the governments in the study area and the neighboring countries. Building such system, the paper concludes could offer decision-makers access to the appropriate spatio-temporal data for monitoring climate change induced emergencies related to seasonal floods.

关键词： Remote Sensing Geographic Information Systems Climate Change Flooding La Nina

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Use of GIS and Remote Sensing Technology as a Decision Support Tool in Flood Disaster Management: The Case of Southeast Louisiana, USA

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Journal of Geographic Information System 2020年第2期12卷 141-157页

作者： Yaw A. Twumasi Edmund C. Merem John B. Namwamba Ronald Okwemba tomas ayala-silva Kamran Abdollahi Onyumbe E. Ben Lukongo Joshua Tate Kellyn La Cour-Conant Caroline O. Akinrinwoye Department of Urban Forestry and Natural Resources Southern University and A&M College Fisher Hall Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University Jackson Mississippi USA USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico Department of Public Policy Southern University and A&M College Nelson Mandela College of Government and Social Sciences Baton Rouge Louisiana USA

The primary objective of this paper was to identify flood-prone areas in Southeast of Louisiana to help decision-makers to develop appropriate adaptation strategies and flood prediction, and mitigation of the effects on the community. In doing so, the paper uses satellite remote sensing and Geographic Information System (GIS) data for this purpose. Elevation data was obtained from the National Elevation Dataset (NED) produced by the United States Geological Survey (USGS) seamless data warehouse. Satellite data was also acquired from USGS Earth explorer website. Topographical information on runoff characteristics such as slope, aspect and the digital elevation model was generated. Grid interpolation TIN (triangulated irregular network) was carried from the digital elevation model (DEM) to create slope map. Image Drape was performed using ERDAS IMAGINE Virtual GIS. The output image was then draped over the NED elevation data for visualization purposes with vertical exaggeration of 16 feet. Results of the study revealed that majority of the study area lies in low-lying and very low-lying terrain below sea level. Policy recommendation in the form of the need to design and build a comprehensive Regional Information Systems (RIS) in the form of periodic inventorying, monitoring and evaluation with full support of the governments was made for the study area.

关键词： GIS Remote Sensing Flood Disaster Management Regional Information Systems (RIS) Southeast Louisiana

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Analysis of Precipitation and Temperature Variability over Central Africa (1901-2015)

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Atmospheric and Climate Sciences 2020年第2期10卷 220-239页

作者： Yaw A. Twumasi Edmund C. Merem John B. Namwamba tomas ayala-silva Kamran Abdollahi Ronald Okwemba Onyumbe E. Ben Lukongo Caroline O. Akinrinwoye Joshua Tate Kellyn La Cour-Conant Department of Urban Forestry and Natural Resources Southern University and A&M College Louisiana USA Department of Urban and Regional Planning Jackson State University Jackson Mississippi USA USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico Department of Public Policy Southern University and A&M College Nelson Mandela College of Government and Social Sciences Baton Rouge Louisiana USA

Africa is already experiencing the impact of climate change. Some of the manifestations of climate change in Africa are, changing weather patterns resulting in, flooding and drought. Temperature change has impacted health, livelihoods, productivity of food, availability of water, and state of security. This study examines the long-term climate variations in Central African Countries (Gabon, Cameroon, Republic of Congo, Central Africa Republic, Chad and Democratic Republic of Congo) for the period 1901 to 2015, and then investigates the possible influence of increases in greenhouse gas concentrations. To investigate climate patterns and trends in the Central African Countries, precipitation and temperature were analyzed on annual time scales using data collected from the World Bank Group Climate Change Knowledge Portal. Data was further aggregated using annual average blocks of 10 years. Linear and polynomial regression was performed. Also, linear time series slopes were analyzed to investigate the spatial and temporal trends of climate variability in Central African countries. Results of the analyses indicated that the mean annual temperature and precipitation records in some of the Central African Countries had both warming and cooling trends over the study period from 1901 to 2015. For example, differences between the maximum and the minimum rainfall data for Democratic Republic of Congo, Cameroon and Gabon were 13 mm, 13 mm and 11.1 mm, which corresponded to 11.04%, 10.03% and 10.44% respectively. The study also found the temperature of Chad to have significantly risen from 1901 to 2015 by almost 20%, while its rainfall’s variation was limited. Although the variation in rainfall in Chad was not dramatic, the temperature per 10 year rose by almost 20%. Chad’s temperature rose according to a cubic model from about 24.5°C to just below 27°C during the period 1901-1940. This was followed by a brief drop between 1940 and 1960. From 1960 to 2015 it rose according to th

关键词： Temperature Rainfall Climate Variability Linear and Polynomial Regression Central African Countries

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Modeling the Risks of Climate Change and Global Warming to Humans Settled in Low Elevation Coastal Zones in Louisiana, USA

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Atmospheric and Climate Sciences 2020年第3期10卷 298-318页

作者： Yaw A. Twumasi Edmund C. Merem John B. Namwamba tomas ayala-silva Ronald Okwemba Olipa S. Mwakimi Kamran Abdollahi Onyumbe E. Ben Lukongo Kellyn LaCour-Conant Joshua Tate Caroline O. Akinrinwoye Department of Urban Forestry and Natural Resources Southern University and A&M College Baton Rouge LA USA Department of Urban and Regional Planning Jackson State University Jackson MS USA USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania Department of Public Policy Southern University and A&M College Nelson Mandela College of Government and Social Sciences Baton Rouge LA USA

This paper seeks to identify high risk areas that are prone to flooding, caused by sea level rise because of high impacts of global climate change resulting from global warming and human settlements in low-lying coastal elevation areas in Louisiana, and model and understand the ramifications of predicted sea-level rise. To accomplish these objectives, the study made use of accessible public datasets to assess the potential risk faced by residents of coastal lowlands of Southern Louisiana in the United States. Elevation data was obtained from the Louisiana Statewide Light Detection and Ranging (LiDAR) with resolution of 16.4 feet (5 m) distributed by Atlas. The data was downloaded from Atlas website and imported into Environmental Systems Research Institute’s (ESRI’s) ArcMap software to create a single mosaic elevation image map of the study area. After mosaicking the elevation data in ArcMap, Spatial Analyst extension software was used to classify areas with low and high elevation. Also, data was derived from United States Geological Survey (USGS) Digital Elevation Model (DEM) and absolute sea level rise data covering the period 1880 to 2015 was acquired from United States Environmental Protection Agency (EPA) website. In addition, population data from U.S. Census Bureau was obtained and coupled with elevation data for assessing the risks of the population residing in low lying areas. Models of population trend and cumulative sea level rise were developed using statistical methods and software were applied to reveal the national trends and local deviations from the trends. The trends of population changes with respect to sea level rise and time in years were modeled for the low land coastal parishes of Louisiana. The expected years for the populations in the study area to be at risk due to rising sea level were estimated by models. The geographic information systems (GIS) results indicate that areas of low elevation were mostly located along the coastal Parishes in

关键词： Coastal Flooding Climate Change Sea Level Rise Elevation Global Warming GIS Population Regression Analysis Louisiana

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Spatial Distribution of Toxic Sites in Louisiana, USA: The GIS Perspectives

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International Journal of Geosciences 2020年第4期11卷 288-303页

作者： Yaw A. Twumasi Edmund C. Merem John B. Namwamba Sabrina A. Welch tomas ayala-silva Ronald Okwemba Kamran Abdollahi Onyumbe E. Ben Lukongo Kellyn LaCour-Conant Joshua Tate Caroline O. Akinrinwoye Department of Urban Forestry and Natural Resources Southern University and A & M College Fisher Hall Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University Capitol Center Jackson Mississippi USA Department of Civil Engineering Jackson State University Jackson MS USA USDA-ARS Tropical Agriculture Research Station Mayaguez Puerto Rico USA Department of Public Policy Southern University and A & M College Nelson Mandela College of Government and Social Sciences Baton Rouge Louisiana USA

This study uses geographic Information System (GIS) techniques to spatially geocode the affected toxic site areas in Louisiana and use the results to help policy-makers plan for removal. Data for this study was acquired from the United States Environmental Protection Agency (EPA) website including names and locations of National Priorities List (NPL). Also, publicly available EPA database that contains information on toxic chemical releases and other waste management activities reported annually by regulated industry groups and federal facilities was acquired. Data obtained from EPA website was converted to geographic co-ordinates (latitude and longitude). Results showed geocoded toxic wastes maps in Louisiana. Results also revealed that most of the toxic sites were clustered around major waterways in both southern and northern Louisiana. Policy recommendations include strict enforcement of the State laws that deal with fracking and flaring, use of emission inventories and air quality reports to assist policy makers in developing cost-effective emission control strategies that are necessary for tracking the progress of policies towards gas emissions reduction and finally, the need to increase funding for the clean-up of the chemical waste.

关键词： GIS Toxic Waste Superfund Louisiana

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Degradation of Urban Green Spaces in Lagos, Nigeria: Evidence from Satellite and Demographic Data

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Advances in Remote Sensing 2020年第1期9卷 33-52页

作者： Yaw A. Twumasi Edmund C. Merem John B. Namwamba Olipa S. Mwakimi tomas ayala-silva Kamran Abdollahi Ronald Okwemba Onyumbe E. Ben Lukongo Caroline O. Akinrinwoye Joshua Tate Kellyn LaCour-Conant Department of Urban Forestry and Natural Resources Southern University and A & M College 102 Fisher Hall Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University 101 Capitol Center Jackson Mississippi USA Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania USDA-ARS Tropical Agriculture Research Station Suite 201 Mayaguez Puerto Rico Department of Public Policy Southern University and A & M College Nelson Mandela College of Government and Social Sciences Baton Rouge Louisiana USA

The study aimed to assess the potential of using Remote Sensing (RS) da-ta to evaluate the changes of urban green spaces in Lagos, Nigeria. Land-sat Thematic Mapper and Landsat 8 (Operational Land Imager) data pair of May 4, 1986, December 12, 2002 and January 1, 2019 covering Lagos Government Authority (LGA) were used for this study. Supervised image classification technique using Maximum Likelihood Classifier (MLC) was used to create base map which was then used for ground truthing. Ran-dom Forest (RF) classification technique using RF classifier was utilized in this study to generate the final land use land cover map. RF is an en-semble learning method for classification that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification). Lagos census population data was also used in this study to model population projection. Extrapolation of the model was used to predict data for the years, 2020 and 2040. Re-sults of the study revealed a reduction of urban green spaces due to agri-culture and settlement. While the remote mapping revealed the gradual dispersion of ecosystem degradation indicators spread across the state, there exists clusters of areas vulnerable to environmental hazards across Lagos. To mitigate these risks, the paper offered recommendations rang-ing from the need for effective policy to green planning education for city managers, developers and risk assessment. These measures will go a long way in helping sustainability and management of land resources in Lagos.

关键词： Remote Sensing Urban Green Spaces Population Projection Lagos

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Potential risk genes for primary Sjogren's syndrome from a meta-analysis by linear regression and random forest classification

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Genes & Diseases 2024年第3期11卷 128-131页

作者： tomas Cerdo Teresa Torres Moral Maimonides Biomedical Research Institute of Cordoba(IMIBIC) Reina Sofia University HospitalUniversity of CordobaCordoba 14004Spain Centre for Rheumatology Research Division of MedicineUniversity College LondonLondon W1T 4JFUK Faculty of Computer Sciences Multimedia and TelecommunicationUniversitat Oberta de CatalunyaBarcelona 08018Spain Dermatology Department Melanoma UnitAugust Pi i Sunyer Biomedical Research Institute(IDIBAPS)and Hospital ClinicBarcelona 08036Spain Center for Networked Biomedical Research on Rare Diseases(CIBERER) Carlos II Health InstituteMadrid 28029Spain

Primary Sjogren's syndrome(psS)is one of the most widespread autoimmune diseases with unknown origin,characterized by a lymphocytic infiltrate of the exocrine glands and the production of anti-SSA/Ro and anti-SSB/La antibodies that cause dysfunction and destruction mainly of salivary and lachrymal glands,leading to dry eyes and dry *** the absence of a standardized evidence-based screening tool to decide which patients with dry eye must be referred for study of this pathology.

关键词： Sjogren lymphocytic salivary

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Nondestructive and active interrogation system for special nuclear material:proof of principle and initial results

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Nuclear Science and Techniques 2024年第5期35卷 216-225页

作者： Mahmoud Bakr Kai Masuda Yoshiyuki Takahashi Tsuyoshi Misawa Norio Yamakawa tomas Scott Institute of Advanced Energy Kyoto UniversityGokashoUjiKyoto 611‑0011Japan School of Physics University of BristolBs81TL Tyndall AvenueBristolUK Physics Department Faculty of ScienceAssiut UniversityAssiut 71516Egypt Research Reactor Institute Kyoto University2 Asashiro‑NishiKumatoriOsaka 590‑0494Japan Pony Industry Co.Ltd. 2‑3‑6 Kitakyuhoji‑MachiChuo‑KuOsaka 541‑0057Japan Astral Neutronics LTD Unit H5HallenBristol BS107SBUK

Herein,we employ the threshold energy neutron analysis(TENA)technique to introduce the world's first active interrogation system to detect special nuclear materials(SNMs),including U-235 and *** system utilizes a DD neutron generator based on inertial electrostatic confinement(IEC)to interrogate suspicious *** detect secondary neutrons produced during fission reactions induced in SNMs,a tensioned metastable fluid detector(TMFD)is *** current status of the system's development is reported in this paper,accompanied by the results from experiments conducted to detect 10 g of highly enriched uranium(HEU).Notably,the experimental findings demonstrate a distinct difference in the count rates of measurements with and without *** difference in count rates surpasses two times the standard deviation,indicating a confidence level of more than 96% for identifying the presence of *** paper presents and extensively discusses the proof-of-principle experimental results,along with the system's planned trajectory.

关键词： Special nuclear materials Uranium detection Inertial electrostatic confinement fusion TENA HEU CTMFD

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Molecular and cellular mechanisms of neuroprotection by oligopeptides from snake venoms

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BIOCELL 2024年第6期48卷 897-904页

作者： CARLOS ALBERTO-silva BRENDA RUFINO DA silva Natural and Humanities Sciences Center Experimental Morphophysiology LaboratoryFederal University of ABC(UFABC)São Bernardo do CampoSão PauloBrazil

Venom snake-derived peptides have multiple biochemical,pharmacological,and toxicological proﬁles,allowing for the discovery of new medicinal products and therapeutic *** review speciﬁcally examines the fundamental elements of neuroprotection offered by different oligopeptides derived from snake *** also includes a brief evaluation of short peptides that are being considered as potential therapeutic ***-rich peptides and tryptophyllin family peptides isolated from the crude venom of Viperidae family snakes,speciﬁcally Bothrops atrox,Bothrops jararaca,and Bothrops moojeni,have been shown to have pro-survival properties,the ability to reduce oxidative stress,and the ability to promote cell viability and mitochondrial *** signiﬁcant mechanisms are related to the neuroprotection mediated by snake venom oligopeptides:(1)Activation of the L-arginine metabolite pathway,such as polyamines from ornithine metabolism,which reduces N-methyl-D-aspartate(NMDA)-type glutamate receptor activity;(2)Enhancement of cell viability by activating the nerve growth factor-signaling pathway;and(3)Activation of the Muscarinic acetylcholine receptor subtype M1(mAChR-M1).These small peptides show promise as neuroprotective agents against a variety of neurodegenerative disorders.

关键词： Neuroprotective peptides Neurodegenerative disease Oxidative stress Reactive oxygen species Biopeptides

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