152 research outputs found

    Weather Cycles, Production Yields and Georgia's Muscadine

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    This paper looks at the relationship between weather, crop yield, and market price of muscadines using a dynamic panel data that spans from the 2000 to 2005 and across the state of Georgia. We use a Generalized Methods of Moments technique to estimate the impact of weather on the price of muscadines with the yield per acre as the instrumented variable. The results suggest that there is a relationship between the price and weather for muscadines, which provide important implications for the potential relevance of a weather derivative for muscadine production.muscadines, weather cycles, price, production yields, Georgia, Generalized Method of Moments, Farm Management, Risk and Uncertainty,

    Gender Bias Claims in Farm Service Agency’s Lending Decisions

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    This study analyzes the courts’ denial of women farmers’ motion for class-action certification of their lawsuits alleging gender discrimination in Farm Service Agency (FSA) lending decisions. The plaintiffs’ claim of ñ€Ɠcommonalityñ€ of circumstances in women farmers’ dealings with FSA is tested using a four-year sampling of Georgia FSA loan applications. The econometric framework has been developed after accounting for the separability of loan approval and amount decisions, as well as endogeneity issues through instrumental variable estimation. This study’s results do not produce overwhelming evidence of gender bias in FSA loan approval decisions and in favor of the ñ€Ɠcommonalityñ€ argument among Georgia FSA farm loan applicants.class-action suit, credit risk, creditworthiness, gender discrimination, Heckman selection, instrumental variable probit, Labor and Human Capital,

    An Overview on Steps to Accelerate Science Communication in Tamil

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    Our country’s Science, Technology, Innovation Policy (STIP 2020) was released last year. Generally, there exists a gap between science and technology and the general public. It is impertinent to bridge this gap between scientific domain experts, technology aficionados and common (wo)man. STIP 2020 aims to maximize the number of people that participate in and contribute to the scientific discussions, missions and processes in the country. Current science and technology innovations, opportunities, and efforts need to reach every citizen through every spoken and written language of our country. This can be realized by enriching vocabulary in vernacular languages, revisiting words which are not in vogue, translating, transliterating, building technical dictionaries, publishing revised editions, creating copious web resources in Tamil and other local languages. Collaboration with science and technology experts and their contribution towards increasing the technical vocabulary is indispensable to achieve this in the current situation. Translators, linguists, litterateurs should work in unison with experts from different fields. In this article, the authors share their concerns and ideas based on their experience in translating students’ science resources to Tamil

    Biosorption of nickel using mixed cultures of Pseudomonas aeruginosa and Bacillus subtilis

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     Biosorption of Ni(II) was investigated in this study using dead biomass of gram positive (Bacillus subtilis) and gram negative (Pseudomonas aeruginosa).The effects of pH, initial adsorbent dosage, initial metal ion concentration, contact time and temperature were studied in batch experiment. A contact time of 40 min, pH 5.0 and temperature 30oC were found to be optimum. Nickel removal decreased from 77 to 45% as the concentration increased from 50 to 250 mg/L. The Ni(II) removal increased from 45 to 75% as adsorbent dose increased from 0.25 to 1.5 g/L. The Langmuir and freundlich models for dynamics of metal of metal ion uptake proposed in this work fit the experimental data reasonably well. The adsorption capacity (Qo) calculated from Langmuir isotherm was 89.08 mg for Ni (II).

    Grass-Fed versus Organic Dairy Production: Southeastern US Willingness to Pay

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    This paper examines determinants of consumers’ willingness to pay a premium for grass-fed and organic dairy by using a survey data from the southeastern United States. We use ordered and Heckman probit regression techniques to estimate the impact of consumer characteristics on their willingness to pay premiums. The results suggest that some of relevant determinants are: age, income, gender, and geographical variables. This research has important implications for the large dairy industries in Florida and also as provides important information for the growing dairy industries in the rest of the southeastern United States.Grass-fed Dairy, Heckman Probit Regression, Organic Dairy, WTP, Livestock Production/Industries,

    Target Tracking in Wireless Sensor Network

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    Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation, and wireless communications capabilities. In this paper target tracking using dynamic clustering technique has been presented. The dynamic clustering mechanism proposed performs the clustering along the route of the target movement with minimum numbers of sensor nodes to track the target object. The sensors detecting the object need to transmit the sensing data and identification. Sensors forming clusters are termed as core sensors. Within each cluster, the core sensors are selected based on the estimated signal strength since the nodes closer to the targets having larger measurements have a higher probability of becoming core sensors. The core sensors are used to compute the location of a target based on the locations of the neighbouring nodes. These core sensors send this information to the corresponding Cluster Head (CH), using which the target localization is processed. The position of moving object is detected by object moving algorithm. The location is sent to sink from CH node. Target tracking is used in traffic tracking and vehicle tracking. DOI: 10.17762/ijritcc2321-8169.16047

    Unique metabolic features of pancreatic cancer stroma: relevance to the tumor compartment, prognosis, and invasive potential.

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    Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis. The aggressiveness and therapeutic recalcitrance of this malignancy has been attributed to multiple factors including the influence of an active desmoplastic stroma. How the stromal microenvironment of PDAC contributes to the fatal nature of this disease is not well defined. In the analysis of clinical specimens, we observed diverse expression of the hypoxic marker carbonic anhydrase IX and the lactate transporter MCT4 in the stromal compartment. These stromal features were associated with the epithelial to mesenchymal phenotype in PDAC tumor cells, and with shorter patient survival. Cultured cancer-associated fibroblasts (CAFs) derived from primary PDAC exhibited a high basal level of hypoxia inducible factor 1a (HIF1α) that was both required and sufficient to modulate the expression of MCT4. This event was associated with increased transcription and protein synthesis of HIF1α in CAFs relative to PDAC cell lines, while surprisingly the protein turnover rate was equivalent. CAFs utilized glucose predominantly for glycolytic intermediates, whereas glutamine was the preferred metabolite for the TCA cycle. Unlike PDAC cell lines, CAFs were resistant to glucose withdrawal but sensitive to glutamine depletion. Consistent with the lack of reliance on glucose, CAFs could survive the acute depletion of MCT4. In co-culture and xenograft studies CAFs stimulated the invasive potential and metastatic spread of PDAC cell lines through a mechanism dependent on HIF1α and MCT4. Together, these data indicate that stromal metabolic features influence PDAC tumor cells to promote invasiveness and metastatic potential and associate with poor outcome in patients with PDAC

    Towards In-Network Computing Infrastructures for Connected Vehicles

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    The demands of Highly Automated Driving (HAD) applications with respect to the underlying computing and networking infrastructure vary widely from the contemporary cloud applications. Named Function Networking (NFN) as a computing concept along with loose coupling provided by the Information Centric Networking (ICN) enables implementation of several usecases with respect to autonomous driving. In this paper, we present NFN for automotive applications with modiïŹed resolution strategies along with a proof-of-concept implementation

    Hyperglycemia-induced activation of the hexosamine biosynthetic pathway causes myocardial cell death

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    Thesis (PhD (Physiological Sciences))--University of Stellenbosch, 2009.ENGLISH ABSTRACT: OBJECTIVE – Oxidative stress increases flux through the hexosamine biosynthetic pathway (HBP) resulting in greater O-GlcNAcylation of target proteins. Since increased oxidative stress and HBP flux are associated with insulin resistance, we hypothesized that its activation leads to greater O-GlcNAcylation of BAD (pro-apoptotic) and increased myocardial apoptosis. RESEARCH DESIGN AND METHODS – To investigate our hypothesis, we employed two experimental models: 1) H9c2 cardiomyoblasts exposed to high glucose (33 mM glucose) ± HBP modulators ± antioxidant treatment vs. matched controls (5.5 mM glucose); and 2) a rat model of high fat diet-induced insulin resistance and hyperglycemia. We evaluated apoptosis in vitro by Hoechst nuclear staining, Annexin-V staining, caspase activity measurements and immunoblotting while in vivo apoptosis was assessed by immunoblotting. In vitro reactive oxygen species (ROS) levels were quantified by H2DCFDA staining (fluorescence microscopy, flow cytometry). We determined overall and BAD O-GlcNAcylation, both by immunoblotting and immunofluorescence microscopy. As BAD-Bcl-2 dimer formation enhances apoptosis, we performed immunoprecipitation analysis and immunofluorescence microscopy (co-localization) to determine BAD-cl-2 dimerization. In vivo overall O-GlcNAcylation, BAD O-GlcNAcylation and BAD-Bcl-2 dimerization was determined by immunoprecipitation and immunoblotting. 4 RESULTS – High glucose treatment of cells significantly increased the degree of apoptosis as revealed by Hoechst nuclear staining (54 ± 9%, p<0.01 vs. 5.5 mM), Annexin-V staining (43 ± 5%), caspase activity assay (26 ± 2%) and immunoblotting. In parallel, overall OGlcNAcylation (p<0.001 vs. 5.5 mM), BAD O-GlcNAcylation (p<0.05 vs. 5.5 mM) and ROS levels were increased (fluorescence microscopy – p<0.05 vs. 5.5 mM; flow cytometry – p<0.001 vs. 5.5 mM). HBP inhibition using DON and antioxidant treatment (α-OHCA) attenuated these effects while HBP activation by PUGNAc exacerbated it. Likewise, insulin resistant rat hearts exhibited significantly higher caspase-3 (p<0.05 vs. controls), overall O-GlcNAcylation (p<0.05 vs. controls) and BAD O-GlcNAcylation levels (p<0.05 vs. 5.5 mM). BAD-Bcl-2 dimer formation was increased in cells exposed to hyperglycemia [immunoprecipitation analysis and co-localization] and in insulin resistant hearts. CONCLUSIONS - Our study identified a novel pathway whereby hyperglycemia results in greater oxidative stress, resulting in increased HBP activation and increased BAD OGlcNAcylation. We also found greater BAD-Bcl-2 dimerization increasing myocardial apoptosis, suggesting that this pathway may play a crucial role in the onset of the diabetic cardiomyopathy.AFRIKAANSE OPSOMMING: DOELWIT – Oksidatiewe stres verhoog fluks deur die heksosamien biosintetiese weg (HBW) wat in „n groter O-GlcNAsetilering van teiken proteĂŻene resulteer. Weens die feit dat verhoogde oksidatiewe stres en HBW fluks verband hou met insulienweerstandigheid, hipotetiseer ons dat die aktivering hiervan tot groter O-GlcNAsetilering van BAD (pro-aptoptoties) en verhoogde miokardiale apoptose lei. NAVORSINGS ONTWERP EN METODES – Om die hipotese te ondersoek het ons twee modelle ontplooi: 1) H9c2 kardiomioblaste is blootgestel aan hoĂ« glukose konsentrasie (33mM glucose) ± HBW moduleerders ± antioksidant behandeling vs. gepaarde kontrole (5.5mM glucose); en 2) „n hoĂ« vet dieetgeĂŻnduseerde insulienweerstandige rotmodel en hiperglukemie. Ons het apoptose in vitro deur middel van Hoescht nukleuskleuring geĂ«valueer, kasapase aktiwiteit bepalings en immunoblotting terwyl apoptose in vivo getoets is deur immunoblotting. Reaktiewe suurstofspesie (RSS) vlakke is deur middel van H2DCFDA verkleuring (fluoresensie mikroskopie, vloeisitometrie) bepaal. Algehele en BAD O-GlcNAsetilering is beide deur immunoblotting en immunofluoresensie mikroskopie bepaal. BAD-Bcl-2 dimeervorming bevorder apoptose, om BAD-cl-2 dimerisasie te bepaal is daar van immunopresipitering analise en immunofluoresensie mikroskopie (ko-lokalisasie) gebruik gemaak. In vivo is algehele OGlcNAsetiliering, BAD O-GlcNAsetiliering en BAD-Bcl-2 dimerisasie deur immunopresipitasie en immunoblotting bepaal. 6 RESULTE – HoĂ« glukose behandeling van selle het die graad van apotpose betekenisvol verhoog soos blootgelĂȘ deur Hoechst nukleuskleuring (54 ± 9%, p<0.01 vs. 5.5 mM), Annexin-V kleuring (43 ± 5%), kaspase aktiviteit assay (26 ± 2%) en immunoblotting. In parallel, algehele OGlcNAsetilering (p<0.001 vs. 5.5 mM), BAD O-GlcNAsetilering (p<0.05 vs. 5.5 mM) en RSS vlakke is verhoog (fluoresensie mikroskopie– p<0.05 vs. 5.5 mM; vloeisitometrie– p<0.001 vs. 5.5 mM). HBW inhibering deur van DON en van antioksidant behandeling gebruik te maak (α- OHCA) het hierdie effekte verlaag terwyl HBW aktivering deur PUGNAc dit verhoog het. Netso, het insulienweerstandige rotharte betekenisvolle hoĂ« kaspase -3 (p<0.05 vs. kontrole), algeheel O-GlcNAsetilering (p<0.05 vs. kontrole) en BAD O-GlcNAsetiliering vlakke (p<0.05 vs. 5.5 mM) getoon. BAD-Bcl-2 dimeervorming is verhoog in hiperglukemies blootgestelde selle [immunopresipitering analise en ko-lokalisering] en in insulienweerstandige harte. GEVOLGTREKKINGS – Ons studie het „n nuwe weg geĂŻdenifiseer waar hiperglukemie in groter oksidatiewe stres resulteer wat weer HBW aktivering verhoog en BAD O-GlcNAsetilering verhoog het. Ons het verder bevind dat groter BAD-Bcl-2 dimerisasie miokardiale apoptose verhoog wat voorstel dat hierdie weg „n belangrike rol in diabetiese kardiomiopatie speel

    Evaluation of Bioactive Secondary Metabolites from Ponyfish Associated Bacteria (Photobacterium leiognathi)

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    The marine environment continues to surprise us by producing novel bioactive substances with a wide range of benefits for humans. Materials and Methods: Marine bioluminescent bacteria Photobacterium leiognathi was isolated from pony fish, Secutorruconius which was confirmed with microscopic and molecular characterization. The secondary metabolite of the isolated bacteria was extracted with dichloromethane. The chemical fingerprinting of the isolated metabolite was analyzed through TLC, FT-IR, and HPLC. The nature of the compound present in the metabolite was identified in the gas chromatography-mass spectrometry analysis (GC - MS). The isolated extract was investigated for its antibacterial property against 10 human pathogenic bacteria and also its antioxidant activity using different assays such as 1, 1-Diphenyl-2-picrylhydrazyl, Phosphomolybdenum, Metal chelating, Hydroxyl radical scavenging and hydrogen peroxide scavenging activity. Results: The Presence of functional groups including phenols, sugars, and amino acids in the extracts were identified by TLC. Totally, nine peaks were obtained for the crude extract through the FTIR spectrum range of 400 to 4000 cm-1 for the active sample. The DCM extract showed a broad spectrum of antibacterial activity against the six human bacterial pathogens. Secondary metabolites from the bioluminescent bacteria, P. leiognathi, have strong antioxidant properties. These results will be instrumental in developing novel products with biosensors and bio-imaging applications using P. leiognathi.
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