Electricity Demand Forecasting: the Uruguayan Case

International audienc

A causal account of the brain network computations underlying strategic social behavior

During competitive interactions, humans have to estimate the impact of their own actions on their opponent's strategy. Here we provide evidence that neural computations in the right temporoparietal junction (rTPJ) and interconnected structures are causally involved in this process. By combining inhibitory continuous theta-burst transcranial magnetic stimulation with model-based functional MRI, we show that disrupting neural excitability in the rTPJ reduces behavioral and neural indices of mentalizing-related computations, as well as functional connectivity of the rTPJ with ventral and dorsal parts of the medial prefrontal cortex. These results provide a causal demonstration that neural computations instantiated in the rTPJ are neurobiological prerequisites for the ability to integrate opponent beliefs into strategic choice, through system-level interaction within the valuation and mentalizing networks

Cyclohexene oxide/carbon dioxide copolymerization by chromium(<scp>iii</scp>) amino-bis(phenolato) complexes and MALDI-TOF MS analysis of the polycarbonates

Single-component Cr(iii) catalysts for copolymerization of CO2 and cyclohexene oxide have been prepared. MALDI-TOF MS studies provide mechanistic information.</p

A MALDI-TOF MS analysis study of the binding of 4-(N,N-dimethylamino)pyridine to amine-bis(phenolate) chromium(<scp>iii</scp>) chloride complexes: mechanistic insight into differences in catalytic activity for CO₂/epoxide copolymerization

Amine-bis(phenolato)chromium(iii) chloride complexes, [LCrCl], are capable of catalyzing the copolymerization of cyclohexene oxide with carbon dioxide to give poly(cyclohexane) carbonate. When combined with 4-(N,N-dimethylamino)pyridine (DMAP) these catalyst systems yield low molecular weight polymers with moderately narrow polydispersities. The coordination chemistry of DMAP with five amine-bis(phenolato)chromium(iii) chloride complexes was studied by matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The amine-bis(phenolato) ligands were varied in the nature of their neutral pendant donor-group and include oxygen-containing tetrahydrofurfuryl and methoxyethyl moieties, or nitrogen-containing N,N-dimethylaminoethyl or 2-pyridyl moieties. The relative abundance of mono and bis(DMAP) adducts, as well as DMAP-free ions is compared under various DMAP : Cr complex ratios. The [LCr]+ cations show the ability to bind two DMAP molecules to form six-coordinate complex ions in all cases, except when the pendant group is N,N-dimethylaminoethyl (compound 3). Even in the presence of a 4 : 1 ratio of DMAP to Cr, no ions corresponding to [L3Cr(DMAP)2]+ were observed for the complex containing the tertiary sp3-hybridized amino donor in the pendant arm. The difference in DMAP-binding ability of these compounds results in differences in catalytic activity for alternating copolymerization of CO2 and cyclohexene oxide. Kinetic investigations by infrared spectroscopy of compounds 2 and 3 show that polycarbonate formation by 3 is twice as fast as that of compound 2 and that no initiation time is observed.</p

PRODUCTION OF OVOGONIA BY GERMINATIVE EPITHELIUM OF THE OVARY AT SOME MAMMALIA AND BIRDS

The studies were effected on ovaries from sows, cows, bitches, dous and hens. Our investigations revealed the generation of cellular rows of germinative epithelium into the cortex not only during the embrionary period but also in the adult ovary. The histological investigations revealed an intense proliferative process of the germinative epithelium of adult ovary which generated groups of ovogonia under the lamina basalis. From ovogonia developed oocytes and then ovarian follicles. The cause for the proliferation of ovary germinative epithelium could be: the multiple folliculary dehiscences, the premature degeneration of ovarian follicles and formation of the corpus luteum, phenomena that reduce continually the number of embrionary ovogonia

Magnesium amino-bis(phenolato) complexes for the ring-opening polymerization of rac-lactide

Magnesium complexes capable of rac-lactide polymerization in both the melt and in solution at elevated temperatures were synthesized. End-group analysis by MALDI-TOF showed both linear and cyclic PLA.</p

Lithium, sodium, potassium and calcium amine-bis(phenolate) complexes in the ring-opening polymerization of <i>rac</i>-lactide

Li, Na, K and Ca complexes capable of rac-lactide polymerization in both the melt and in solution were synthesized. MALDI-TOF MS showed mainly cyclic PLA was obtained even in the presence of an alcohol co-initiator.</p

Modelling and Forecasting Daily Electricity Load via Curve Linear Regression

In this paper, we discuss the problem of short-term electricity load forecasting by regarding electricity load on each day as a curve. The dependence between successive daily loads and other relevant factors such as temperature, is modelled via curve linear regression where both the response and the regressor are functional (curves). The key ingredient of the proposed method is the dimension reduction based on the singular value decomposition in a Hilbert space, which reduces the curve linear regression problem to several ordinary (i.e. scalar) linear regression problems. This method has previously been adopted in the hybrid approach proposed by Cho et al. (J Am Stat Assoc 108: 7-21, 2013) for the same purpose, where the curve linear regression modelling was applied to the data after the trend and the seasonality were removed by a generalised additive model fitted at the weekly level. We show that classifying the successive daily loads prior to curve linear regression removes the necessity of such a two-stage approach as well as resulting in reducing the forecasting error by a great margin. The proposed methodology is illustrated using the electricity load dataset collected between 2007 and mid-2012, on which it is compared to the hybrid approach and other available competitors. Finally, various ways for improving the forecasting performance of the curve linear regression technique are discussed.EICPCI-S(ISTP)[email protected]