Mean-Field Approach to Charge, Orbital, and Spin Ordering in Manganites

We present a mean-field theory of charge, orbital, and spin ordering in manganites at 50% and 0% dopings by considering Jahn-Teller interaction, nearest-neighbor repulsion, and no single-site double occupancy. For spinless fermions, we show that Jahn-Teller distortion and charge-orbital ordering occur simultaneously. In our two-dimensional model at 50% doping, for small nearest-neighbor repulsion the system is orbitally polarized while for larger repulsion the system undergoes CE type ordering. As for the 0% doping case, the ground state is orbitally antiferromagnetic. Upon including spin degree of freedom, at both 50% and 0% dopings the ordering remains the same at small antiferromagnetic coupling between adjacent core spins.Comment: 4 pages, 3 figure

Impacts of Reducing UK Beef Consumption Using a Revised Sustainable Diets Framework

The impact of beef consumption on sustainability is a complex and evolving area, as sustainability covers many areas from human nutrient adequacy to ecosystem stability. Three sustainability assessment frameworks have been created to help policy makers unpack the complexities of sustainable food systems and healthy sustainable dietary change. However, none of these frameworks have yet to be applied to a case study or individual policy issue. This paper uses a hybrid version of the sustainability assessment frameworks to investigate the impact of reducing beef consumption (with a concurrent increase in consumption of plant-based foods, with a focus on legumes) on sustainability at a UK level. The aim of this paper is to understand the applicability of these overarching frameworks at the scale of an individual policy. Such an assessment is important, as this application of previously high-level frameworks to individual policies makes it possible to summarise, at a glance, the various co-benefits and trade-offs associated with a given policy, which may be of particular value in terms of stakeholder decision-making. We find that many of the proposed metrics found within the sustainability assessment frameworks are difficult to implement at an individual issue level; however, overall they show that a reduction in beef consumption and an increase in consumption of general plant-based foods, with a focus around legumes production, would be expected to be strongly beneficial in five of the eight overarching measures which were assessed

Group Manifold Reduction of Dual N=1 d=10 Supergravity

We perform a group manifold reduction of the dual version of N=1 d=10 supergravity to four dimensions. The effects of the 3- and 4-form gauge fields in the resulting gauged N=4 d=4 supergravity are studied in particular. The example of the group manifold SU(2)xSU(2) is worked out in detail, and we compare for this case the four-dimensional scalar potential with gauged N=4 supergravity.Comment: 22 pages, revised section 3, typos corrected. Published versio

ANTIDIABETIC AND HYPOLIPIDEMIC EFFECTS OF METHANOLIC EXTRACT OF VENTILAGO MADERASPATANA IN STREPTOZOTOCIN INDUCED DIABETIC RATS

This study evaluated methanolic extract of Ventilago maderaspatana (MVM) on reducing hyperglycemia and hyperlipidemia in streptozotocin -induced diabetic rats. MVM was orally administered once a day after 3 days of streptozotocin -induction at 100,200 and 400 mg/kg for 45 day and the results showed that serum fasting blood glucose, glucose – 6 – phosphotase , fructose 1, 6 –phosphotase in hepatic tissues ,total cholesterol,, free fatty acids and triglyceride in serum, HbA1c in blood levels were significantly decreased, whereas haemoglobulin in blood  and serum high density lipoprotein, glucokinase, glucose – 6 – Phosphate dehydrogenase in hepatic tissues and liver and muscle glycogen level were increased. The dosage of 400 mg/kg is more effective than that of 100, 200 mg/kg. These results suggest that the MVM possesses antidiabetic and hypolipidemic effects in streptozotocin -induced diabetic rats. Key words:  Ventilago maderaspatana ,antihyperlipidemic ,antihyperglycemic and streptozotoci

MODELING NITROGEN LOADING RATE TO DELAWARE LAKES USING REGRESSION AND NEURAL NETWORKS

The objective of this research was to predict the nitrogen-loading rate to Delaware lakes and streams using regression analysis and neural networks. Both models relate nitrogen-loading rate to cropland, soil type and presence of broiler production. Dummy variables were used to represent soil type and the presence of broiler production at a watershed. Data collected by Ritter & Harris (1984) was used in this research. To build the regression model Statistical Analysis System (SAS) was used. NeuroShell Easy Predictor, neural network software was used to develop the neural network model. Model adequacy was established by statistical techniques. A comparison of the regression and neural network models showed that both perform equally well. Cropland was the only significant variable that had any influence on the nitrogen-loading rate according to both the models.Environmental Economics and Policy,

Ethnobotanical Observations on Some Endemic Plants of Eastern Ghats, India

The present paper reports ethnobotanical usage of 28 endemic plant species used by the tribes of Eastern Ghats, India. All the species were enumerated with botanical name, family name, vernacular name, habit, habitat and information on ethnic uses

Expression, Purification and Functional Antibacterial Characterization of Novel Antimicrobial Peptide Gene Pediocin against Salmonella typhii

Salmonella is known to be the major cause for the serious food infections prevailing round the world. Growing resistance to most of the antibiotics also makes the strain more problematic and threat. Food industry is experiencing a fatal loss both in terms of economy and the lives of cattle

Giant magnetoelectric effect in pure manganite-manganite heterostructures

Obtaining strong magnetoelectric couplings in bulk materials and heterostructures is an ongoing challenge. We demonstrate that manganite heterostructures of the form ${\rm (Insulator)/(LaMnO_3)_n/(CaMnO_3)_n/(Insulator)}$ show strong multiferroicity in magnetic manganites where ferroelectric polarization is realized by charges leaking from ${\rm LaMnO_3}$ to ${\rm CaMnO_3}$ due to repulsion. Here, an effective nearest-neighbor electron-electron (electron-hole) repulsion (attraction) is generated by cooperative electron-phonon interaction. Double exchange, when a particle virtually hops to its unoccupied neighboring site and back, produces magnetic polarons that polarize antiferromagnetic regions. Thus a striking giant magnetoelectric effect ensues when an external electrical field enhances the electron leakage across the interface.Comment: 13 page

First Red List of Medicinal Plants of Andhra Pradesh, India - Conservation Assessment and Management Planning

The present article is based on the First Conservation Assessment and Management Planning (CAMP) workshop organized by Medicinal Plants Conservation Centre, Environment Protection Training and Research Institute, Hyderabad, India based on IUCN Red List categories - 2000. In the workshop 50 prioritised medicinal plant species found in Andhra Pradesh were assessed and out of these 39 found to be threatened in the State of Andhra Pradesh, India

Analysing the sensitivity of Arctic large-scale circulation to the regional radiation forcing over Europe using deep learning

The Arctic large-scale circulation is governed by a wide range of factor. In order to investigate the sensitivity of the Arctic large-scale circulation to the regional radiative forcing over Europe, we conducted sensitivity experiments using a state-of-the-art atmosphere-land-ocean coupled model. Using advanced Deep Learning (DL) algorithms, we analyzed the Arctic circulation regimes response to negative radiative forcing anomalies over Europe. We examined different architectures for our DL algorithm to find the most suitable one for our analysis. We simultaneously layer Thickness (300-700-T) and their spatiotemporal patterns with the DL algorithm. The DL algorithm showed good skills in capturing the general structure of the large-scale circulation. The radiative forcing over Europe doesn't seem to induce the occurrence frequency of preferred circulation regimes.Die arktische großräumige Zirkulation wird von einer Vielzahl von Faktoren bestimmt. Um die Sensitivität der arktischen großräumigen Zirkulation auf den regionalen Strahlungsantrieb über Europa zu untersuchen, haben wir Sensitivitätsexperimente mit einem hochmodernen gekoppelten Atmosphäre-Land-Ozean-Modell untersucht. Unter Verwendung neuer Deep-Learning-Algorithmen (DL) analysierten wir die Reaktion der arktischen Zirkulationsregime auf negativen Strahlungsantriebsanomalien über Europa. Wir haben verhsciedene Architekturen für unseren DL-Algorithmus untersucht, um die am besten geeignete für unsere Analyse zu finden. Wir haben die Felder des mittleren Drucks auf Meeresspiegelniveau und der Schichtdicke von 700 bis 300 hPa und ihre raumzeitlichen Muster mit dem DL-Algorithmus analysiert. Die DL-Algorithmen zeigten gute Ergebnisse bei der Erfassung der allgmeinen Struktur der großräumigen Zirkulation. Der Strahlungsantrieb über Europa scheint der großräumigen Zirkulation keine neuen raumzeitlichen Muster zuzufügen, veränderte aber die Häufigkeit des Auftretens bevorzugter Zirkulationsmuster