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Abstract Besides solving the equations of momentum, heat, and moisture transport on the model grid, mesoscale weather models must account for subgrid-scale processes that affect the resolved model variables. These are simulated with model parameterizations, which often rely on values preset by the user. Such ‘free’ model parameters, along with others set to initialize the model, are often poorly constrained, requiring that a user select each from a range of plausible values. Finding the values to optimize any forecasting tool can be accomplished with a search algorithm, and one such process – the genetic algorithm (GA) – has become especially popular. As applied to modeling, GAs represent a Darwinian process – an ensemble of simulations is run with a different set of parameter values for each member, and the members subsequently judged to be most accurate are selected as ‘parents’ who pass their parameters onto a new generation. At the Department of Energy’s Savannah River Site in South Carolina, we are applying a GA to the Regional Atmospheric Modeling System (RAMS) mesoscale weather model, which supplies input to a model to simulate the dispersion of an airborne contaminant as part of the site’s emergency response preparations. An ensemble of forecasts is run each day, weather data are used to ‘score’ the individual members of the ensemble, and the parameters from the best members are used for the next day’s forecasts. As meteorological conditions change, the parameters change as well, maintaining a model configuration that is best adapted to atmospheric conditions.


PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0261109
Author(s):  
Dil Thavarajah ◽  
Tristan J. Lawrence ◽  
Sarah E. Powers ◽  
Joshua Kay ◽  
Pushparajah Thavarajah ◽  
...  

A primary criticism of organic agriculture is its lower yield and nutritional quality compared to conventional systems. Nutritionally, dry pea (Pisum sativum L.) is a rich source of low digestible carbohydrates, protein, and micronutrients. This study aimed to evaluate dry pea cultivars and advanced breeding lines using on-farm field selections to inform the development of biofortified organic cultivars with increased yield and nutritional quality. A total of 44 dry pea entries were grown in two USDA-certified organic on-farm locations in South Carolina (SC), United States of America (USA) for two years. Seed yield and protein for dry pea ranged from 61 to 3833 kg ha-1 and 12.6 to 34.2 g/100 g, respectively, with low heritability estimates. Total prebiotic carbohydrate concentration ranged from 14.7 to 26.6 g/100 g. A 100-g serving of organic dry pea provides 73.5 to 133% of the recommended daily allowance (%RDA) of prebiotic carbohydrates. Heritability estimates for individual prebiotic carbohydrates ranged from 0.27 to 0.82. Organic dry peas are rich in minerals [iron (Fe): 1.9–26.2 mg/100 g; zinc (Zn): 1.1–7.5 mg/100 g] and have low to moderate concentrations of phytic acid (PA:18.8–516 mg/100 g). The significant cultivar, location, and year effects were evident for grain yield, thousand seed weight (1000-seed weight), and protein, but results for other nutritional traits varied with genotype, environment, and interactions. “AAC Carver,” “Jetset,” and “Mystique” were the best-adapted cultivars with high yield, and “CDC Striker,” “Fiddle,” and “Hampton” had the highest protein concentration. These cultivars are the best performing cultivars that should be incorporated into organic dry pea breeding programs to develop cultivars suitable for organic production. In conclusion, organic dry pea has potential as a winter cash crop in southern climates. Still, it will require selecting diverse genetic material and location sourcing to develop improved cultivars with a higher yield, disease resistance, and nutritional quality.


2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Jason Kaufman ◽  
Ana M. Vicedo-Cabrera ◽  
Vicky Tam ◽  
Lihai Song ◽  
Ethan Coffel ◽  
...  

AbstractThe risk of kidney stone presentations increases after hot days, likely due to greater insensible water losses resulting in more concentrated urine and altered urinary flow. It is thus expected that higher temperatures from climate change will increase the global prevalence of kidney stones if no adaptation measures are put in place. This study aims to quantify the impact of heat on kidney stone presentations through 2089, using South Carolina as a model state. We used a time series analysis of historical kidney stone presentations (1997–2014) and distributed lag non-linear models to estimate the temperature dependence of kidney stone presentations, and then quantified the projected impact of climate change on future heat-related kidney stone presentations using daily projections of wet-bulb temperatures to 2089, assuming no adaptation or demographic changes. Two climate change models were considered—one assuming aggressive reduction in greenhouse gas emissions (RCP 4.5) and one representing uninibited greenhouse gas emissions (RCP 8.5). The estimated total statewide kidney stone presentations attributable to heat are projected to increase by 2.2% in RCP 4.5 and 3.9% in RCP 8.5 by 2085–89 (vs. 2010–2014), with an associated total excess cost of ~ $57 million and ~ $99 million, respectively.


Minerals ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 77
Author(s):  
Michael A. Wise ◽  
Russell S. Harmon ◽  
Adam Curry ◽  
Morgan Jennings ◽  
Zach Grimac ◽  
...  

Laser-induced breakdown spectroscopy (LIBS), which has recently emerged as tool for geochemical analysis outside the traditional laboratory setting, is an ideal tool for Li exploration because it is the only technique that can measure Li in minerals, rocks, soils, and brines in-situ in the field. In addition to being used in many products essential to modern life, Li is a necessary element for a reduced carbon future and Li–Cs–Ta (LCT) granitic pegmatites are an important source of Li. Such pegmatites can have varying degrees of enrichment in Li, Rb, Cs, Be, Sn, Ga, Ta>Nb, B, P, and F. We focus here on the LCT pegmatites of the Carolina Tin-Spodumene Belt (CTSB) situated in the Kings Mountain Shear Zone, which extends from South Carolina into North Carolina. The CTSB hosts both barren and fertile pegmatites, with Li-enriched pegmatites containing spodumene, K-feldspar, albite, quartz, muscovite, and beryl. We illustrate how handheld LIBS analysis can be used for real-time Li analysis in the field at a historically important CTSB pegmatite locality in Gaston County, N.C. in four contexts: (i) elemental detection and identification; (ii) microchemical mapping; (iii) depth profiling; and (iv) elemental quantitative analysis. Finally, as an example of a practical exploration application, we describe how handheld LIBS can be used to measure K/Rb ratios and Li contents of muscovite and rapidly determine the degree of pegmatite fractionation. This study demonstrates the potential of handheld LIBS to drastically reduce the time necessary to acquire geochemical data relevant to acquiring compositional information for pegmatites during a Li pegmatite exploration program.


Author(s):  
D. W. Minter

Abstract A description is provided for Tremella mesenterica, a parasite on mycelium of (perhaps exclusively) Peniophora spp. Some information on its associated organisms and substrata, dispersal and transmission, habitats and conservation status is given, along with details of its geographical distribution (Africa (Benin, Democratic Republic of the Congo, Morocco, South Africa, Tunisia), Asia (Armenia, Azerbaijan, China (Hong Kong, Sichuan, Yunnan), Georgia, India (Chhattisgarh, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Meghalaya, Sikkim), Iran, Israel, Japan, Kazakhstan (Almaty, East Kazakhstan), Lebanon, Malaysia, Philippines, Russia (Altai Krai, Amur Oblast, Irkutsk Oblast, Jewish Autonomous Oblast, Kamchatka Krai, Khabarovsk Krai, Khanty-Mansi Autonomous Okrug, Omsk Oblast, Primorsky Krai, Sakha Republic, Sakhalin Oblast, Sverdlovsk Oblast, Tyumen Oblast, Yamalo-Nenets Autonomous Okrug), South Korea, Sri Lanka, Taiwan, Tajikistan, Turkey, Turkmenistan, Uzbekistan), Australasia (Australia (Australian Capital Territory, New South Wales, Northern Territory, Queensland, South Australia, Tasmania, Victoria, Western Australia), New Zealand), Caribbean (Jamaica, Puerto Rico), Central America (Costa Rica, Honduras, Panama), Europe (Austria, Belarus, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Liechtenstein, Lithuania, Luxembourg, Moldova, Netherlands, Norway, Poland, Portugal, Romania, Russia (Arkhangelsk Oblast, Belgorod Oblast, Bryansk Oblast, Chuvash Republic, Ivanovo Oblast, Kaliningrad Oblast, Kaluga Oblast, Kirov Oblast, Komi Republic, Kostroma Oblast, Krasnodar Krai, Kursk Oblast, Leningrad Oblast, Mari El Republic, Moscow Oblast, Murmansk Oblast, Nizhny Novgorod Oblast, Novgorod Oblast, Perm Krai, Pskov Oblast, Republic of Adygea, Republic of Bashkortostan, Republic of Dagestan, Republic of Mordovia, Republic of Tatarstan, Tula Oblast, Tver Oblast, Udmurt Republic, Vladimir Oblast, Voronezh Oblast, Yaroslavl Oblast), Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Ukraine, UK), Indian Ocean (Réunion), North America (Canada (Alberta, British Columbia, New Brunswick, Newfoundland and Labrador, Northwest Territories, Nova Scotia, Ontario, Prince Edward Island, Quebec, Saskatchewan, Yukon), Mexico, USA (Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming)), Pacific Ocean (USA (Hawaii)), South America (Argentina, Brazil (Bahia, Mato Grosso do Sul, Minas Gerais, Paraná, Rio Grande do Sul, Rio de Janeiro, Santa Catarina, São Paulo), Chile, Colombia, Ecuador, French Guiana, Guyana, Peru, Venezuela)).


Author(s):  
D. W. Minter

Abstract A description is provided for Laetiporus sulphureus growing on a wide range of woody plants. Some information on its taxonomy, morphology, dispersal and transmission and conservation status is given, along with details of its geographical distribution (Cameroon, Democratic Republic of the Congo, Equatorial Guinea, Ethiopia, Kenya, Senegal, South Africa, Tanzania, Tunisia, Armenia, Azerbaijan, China (Guangxi, Jiangxi, Sichuan, Xinjiang Autonomous Region), Republic of Georgia, India (Assam, Chhattisgarh, Himachal Pradesh, Jammu and Kashmir, Kerala, Meghalaya, Rajasthan, Sikkim, Uttarakhand, Uttar Pradesh, West Bengal), Indonesia, Iran, Israel, Japan, Kazakhstan (Aktobe, Almaty, East Kazakhstan, South Kazakhstan, West Kazakhstan), Laos, Mongolia, Nepal, Pakistan, Philippines, Russia (Altai Krai, Altai Republic, Amur Oblast, Irkutsk Oblast, Khabarovsk Krai, Khanty-Mansi Autonomous Okrug, Novosibirsk Oblast, Omsk Oblast, Primorsky Krai, Republic of Buryatia, Republic of Khakassia, Sakha Republic, Sakhalin Oblast, Sverdlovsk Oblast, Tomsk Oblast, Tyumen Oblast, Yamalo-Nenets Autonomous Okrug), Korea Republic, Taiwan, Turkey, Uzbekistan, Bermuda, Spain (Canary Islands), Australia (New South Wales, Northern Territory, Queensland, Tasmania, Victoria, Western Australia), New Zealand, Dominica, Guadeloupe, Jamaica, Trinidad and Tobago, Belize, Costa Rica, Honduras, Panama, Austria, Belarus, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Irish Republic, Isle of Man, Italy, Latvia, Liechtenstein, Lithuania, Luxembourg, Montenegro, Netherlands, Norway, Poland, Portugal, Romania, Russia (Astrakhan Oblast, Belgorod Oblast, Bryansk Oblast, Chuvash Republic, Ivanovo Oblast, Kaliningrad Oblast, Kaluga Oblast, Kirov Oblast, Krasnodar Krai, Kursk Oblast, Leningrad Oblast, Moscow Oblast, Nizhny Novgorod Oblast, Novgorod Oblast, Orenburg Oblast, Penza Oblast, Pskov Oblast, Republic of Adygea, Republic of Bashkortostan, Republic of Dagestan, Republic of Mordovia, Republic of North Ossetia-Alania, Republic of Tatarstan, Samara Oblast, Saratov Oblast, Stavropol Krai, Tambov Oblast, Tula Oblast, Tver Oblast, Ulyanovsk Oblast, Vladimir Oblast, Volgograd Oblast, Voronezh Oblast, Yaroslavl Oblast), Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Ukraine, UK, Mauritius, Réunion, Canada (British Columbia, Manitoba, New Brunswick, Nova Scotia, Ontario, Quebec), Mexico, USA (Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Hawaii), Argentina, Brazil (Amazonas, Bahia, Distrito Federal, Espírito Santo, Paraná, Pernambuco, Rio de Janeiro, Rio Grande do Sul, Santa Catarina, São Paulo), Chile, Colombia, Ecuador, Guyana, Venezuela) and hosts (Quercus, Salix, Prunus, Fagus and Populus spp.).


Author(s):  
D. W. Minter

Abstract A description is provided for Phallus impudicus. Some information on its morphological characteristics, associated organisms and substrata, dispersal and transmission, economic impacts, habitats and conservation status is given, along with details of its geographical distribution (Africa (Algeria, Liberia, Morocco, South Africa, Tanzania, Zimbabwe), Asi (Armenia, China, Anhui, Guangdong, Hainan, Hebei, Shanxi, Georgia, India, Assam, Jammu and Kashmir, Maharashtra, Uttar Pradesh, Iran, Israel, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Myanmar, Nepal, Papua New Guinea, Russia, South Korea, Syria, Taiwan, Turkey, Vietnam), Atlantic Ocean (Spain, Islas Canarias), Australasia (Australia, Northern Territory, Queensland, New Zealand), Caribbean (Cuba, Jamaica, Puerto Rico), Central America (Costa Rica, Panama), Europe (Åland Islands, Andorra, Austria, Belarus, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Isle of Man, Italy, Jersey, Latvia, Lithuania, Luxembourg, Netherlands, Norway, Poland, Portugal, Romania, Russia, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Ukraine, UK), North America (Canada, Alberta, British Columbia, New Brunswick, Nova Scotia, Ontario, Prince Edward Island, Quebec, Saskatchewan, Mexico, USA, Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oregon, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Wisconsin), Pacific Ocean (Samoa), South America (Brazil, Amazonas, Paraíba, Rio Grande do Norte, Rio Grande do Sul, São Paulo, Chile, Colombia, Guyana, Uruguay)).


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