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Can the Ucides cordatus Fishing and the Crassostrea gasar Creation on the Amazon Coast Make up the Curriculum of Rural Schools

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Journal of Fisheries Science 2021年第1期3卷 37-46页

作者： Ivaney dos Santos Cardoso Elaine Vasconcelos Bezerra Alves Leandro Lopes Rodrigues Ana Célia Barbosa guedes LuãCaldas de Oliveira Manoel Luciano Aviz de Quadros Débora Tatyane Oliveira Xavier Altevir Signor Fabricio Nilo Lima da silva Instituto Federal de Educação Ciência e Tecnologia do Pará(IFPA)Campus Avançado VigiaRodovia PA-140Km 55próximo ao trevo de São CaetanoVigiaPará68.780-000Brasil Universidade da Amazônia(UNAMA) Campus Alcindo Cacela.Avenida Alcindo Cacela287-UmarizalBelémPará66060-000Brasil Instituto Federal de Educação Ciência e Tecnologia do Pará(IFPA)Campus Breves.Rua Antônio Fulgêncio da Silvas/n-Bairro:Parque UniversitárioBrevesPará68.800-000Brasil Faculdade Católica Paulista.Avenida Cristo Rei n 305 17515-200MaríliaSão PauloBrasil Universidade Estadual do Oeste do Paraná(UNIOESTE) Campus Toledo.Rua da Faculdade645-Jardim La Salle85903-000ToledoParanáBrasil

The fishing and ostreiculture activities practiced in the coast of the Eastern Amazon in the state of Pará,Brazil,became important to be inserted in rural ***,this literature review aimed to realize a brief theoretical discussion about the important aspects of rural education in promoting the development of fishing and *** the accomplishment of the literary research it was sought to explain the definition in education;rural education and valorization of the rural environment;environmental education as a transversal theme;fishing and aquaculture as a teaching strategy;considerations of fishing and ostreiculture;challenges and perspectives of the teaching of fishing and aquaculture in education;and booklet as a pedagogical tool in *** conclusion,the use of fishing and ostreiculture as a strategy for rural schools through environmental education is important to foster fishing activity in communities,as well as the sustainable use of natural resources.

关键词： Fishing resources Ostreiculture Environmental education Brazil

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Cortisol facilitates the immune escape of human acute myeloid leukemia cells by inducing latrophilin 1 expression

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Cellular & Molecular Immunology 2018年第11期15卷 994-997页

作者： Svetlana S.Sakhnevych Inna M.Yasinska Alison M.Bratt Ouafa Benlaouer Isabel Gonçalves silva Rohanah Hussain Giuliano Siligardi Walter Fiedler Jasmin Wellbrock Bernhard F.Gibbs Yuri A.Ushkaryov Vadim V.Sumbayev Medway School of Pharmacy Universities of Kent and GreenwichChatham MaritimeUK Beamline B23 Diamond Light SourceDidcotUK Department of Oncology Hematology and Bone Marrow Transplantation with Section PneumologyHubertus Wald University Cancer CenterUniversity Medical Center Hamburg-EppendorfHamburgGermany Department of Medicine Dermatology and AllergologyUniversity of OldenburgOldenburgGermany

The progression of acute myeloid leukemia(AML)—the most severe blood/bone marrow cancer—is determined by the ability of malignant cells to escape host immune ***,the systemic regulatory mechanisms underlying this phenomenon remain largely *** this study,we discovered a fundamental systemic biochemical strategy that allows AML cells to employ physiological systems within the body to survive and escape immune *** found that AML cells use a crucial human adrenal cortex hormone(cortisol)to induce the expression of neuronal receptor latrophilin 1(LPHN1),which facilitates *** receptor interacts with the blood plasma protein fibronectin leucine rich transmembrane protein 3(FLRT3)to cause secretion of the immune suppressor galectin-9,which impairs the anticancer activities of cytotoxic lymphoid cells.

关键词： acute myeloid cortex

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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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Diagnostic value of drain amylase for detecting intrathoracic leakage after esophagectomy

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World Journal of Gastroenterology 2015年第30期21卷 9118-9125页

作者： Gijs HK Berkelmans Ewout A Kouwenhoven Boudewijn JJ Smeets Teus J Weijs Luis C silva Corten Marc J van Det Grard AP Nieuwenhuijzen Misha DP Luyer Department of Surgery Catharina Hospital Department of Surgery ZGT Hospital group Twente

AIM:To investigate the value of elevated drain amylase concentrations for detecting anastomotic leakage(AL) after minimally invasive Ivor-Lewis esophagectomy(MIILE).METHODS:This was a retrospective analysis of prospectively collected data in two hospitals in the Netherlands. Consecutive patients undergoing MI-ILE were included. A jackson-Pratt drain next to the dorsal side of the anastomosis and bilateral chest drains were placed at the end of the thoracoscopic procedure. Amylase levels in drain fluid were determined in all patients during at least the first four postoperative days. Contrast computed tomography scans and/or endoscopic imaging were performed in cases of a clinically suspected AL. Anastomotic leakage was defined as any sign of leakage of the esophago-gastric anastomosis on endoscopy,re-operation,radiographic investigations,post mortal examination or when gastro-intestinal contents were found in drain fluid. Receiver operator characteristic curves were used to determine the cut-off values. Sensitivity,specificity,positive predictive value,negative predictive value,risk ratio and overall test accuracy were calculated for elevated drain amylase ***:A t o t a l o f 8 9 p a t ie n t s w e re in c lu d e d between March 2013 and August 2014. No differences in group characteristics were observed between patients with and without AL,except for age. Patients with AL were older than were patients without AL(P = 0.01). One patient(1.1%) without AL died within 30 d after surgery due to pneumonia and acute respiratory distress syndrome. Anastomotic leakage that required any intervention occurred in 15 patients(16.9%). Patients with proven anastomotic leakage had higher drain amylase levels than patients without anastomotic leakage [median 384 IU/L(IQR 34-6263) vs median 37 IU/L(IQR 26-66),P = 0.003]. Optimal cut-off values on postoperative days 1,2,and 3 were 350 IU/L,200 IU/L and 160 IU/L,respectively. An elevated amylase level was found in 9 o

关键词： Esophageal cancer Esophageal surgery Anastomotic leakage Amylase Drain fluid

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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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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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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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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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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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Recovery of polyphenols from camu-camu ( Myrciaria dubia H.B.K. McVaugh) depulping residue by cloud point extraction

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中国化学工程学报（英文版） 2018年第12期

作者： Carlos Eduardo de Araújo Padilha Juliana Chris silva de Azevedo Francisco Canindé de Sousa Júnior Sérgio dantas de Oliveira Júnior Domingos Fabiano de Santana Souza jackson Araújo de Oliveira Gorete Ribeiro de Macedo Everaldo Silvino dos Santos Laboratory of Biochemical Engineering，Chemical Engineering Department，Federal University of Rio Grande do Norte (UFRN) Laboratory of Food Bioactive Compounds and dairy Technology，Chemical Engineering Department，Federal University of Rio Grande do Norte (UFRN)

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