Miracle-dz/UniFAR-FTUs huggingface dataset:
The status of household food security targets in South Africa

Abstract This article investigates the conceptual and methodological challenges to develop a set of baseline indicators for South African food security targets. A food security target is a well-defined and measurable goal to reduce the numbers of people who lack enough food of the right quality to live healthy lives. To derive baseline indicators for household food security, the following question is asked: what is the average cost of a nutritionally adequate food basket per person? The cost of recommended nutrient intake is based on estimates of dietary energy costs. Reported food expenditure for each household based on 2005/2006 Income and Expenditure Survey data gets compared to two dietary energy cost baskets. The food expenditure shares of the poorest households vary between 38% and 71% according to different surveys. At food expenditure levels reported in the IES, one in five households meet their average dietary energy cost. Deep levels of food insecurity exist in rural areas with 85% of rural households unable to afford even the ‘below average dietary energy costs’. Food security policy based on refined baseline indicators can better target food insecure households. Another policy benefit is that robust indicators help to develop effective monitoring capabilities.
0 01 10 05 v 1 2 N ov 2 00 0 Formation of singularities for equivariant 2 + 1 dimensional wave maps into two-sphere

In this paper we report on numerical studies of the Cauchy problem for equivariant wave maps from 2+1 dimensional Minkowski spacetime into the two-sphere. Our results provide strong evidence for the conjecture that large energy initial data develop singularities in finite time and that singularity formation has the universal form of adiabatic shrinking of the degree-one harmonic map from R into S.
For the birds: Media sourcing, Twitter, and the minimal effect on audience perceptions

Twitter has emerged as a key news source, but questions remain about the ethics of relying on it as a source and the implications of such reliance for audience impressions. Two experiments test perceptions of news attributed to Twitter. Study 1 (N = 699) tests the effects of quoting from Twitter and showing actual tweets. The results suggest minimal influences on credibility or quality perceptions. Study 2 (N = 311) tests the equivalence of quotes attributed to various sources and investigates the effects of attributing the origin of a news story to Twitter. Results suggest that visual representations of tweets may have a negative effect, but otherwise perceptual effects remain minimal.
Model-independent determination of the WIMP mass from direct dark matter detection data

Weakly interacting massive particles (WIMPs) are one of the leading candidates for dark matter. We develop a model-independent method for determining the mass mχ of the WIMP by using data (i.e. measured recoil energies) of direct detection experiments. Our method is independent of the as yet unknown WIMP density near the Earth, of the form of the WIMP velocity distribution, as well as of the WIMP–nucleus cross section. However, it requires positive signals from at least two detectors with different target nuclei. In a background-free environment, mχ∼50 GeV could in principle be determined with an error of ∼35% with only 2 × 50 events; in practice, upper and lower limits on the recoil energy of signal events, imposed to reduce backgrounds, can increase the error. The method also loses precision if mχ significantly exceeds the mass of the heaviest target nucleus used.
Path Dependency, Hysteresis and Macrodynamics

This chapter explores the meaning and application of concepts of path dependency in macrodynamics, with a particular focus on hysteresis. It is argued that hysteresis is a particular type of (rather than a synonym for) path dependency, and that the concept emerges from features of the adjustment dynamics of economic systems, rather than the nonuniqueness of equilibrium. Distinctions are made between stating (or asserting) hysteresis, characterizing hysteresis, and providing a model of hysteresis. Concrete examples of appeals to hysteresis in macrodynamic analysis are used to illustrate these distinctions. Finally, a case is made for retaining linear unit/zero root models of ‘hysteresis’ in macrodynamic analysis, as a useful first approximation and alternative to traditional equilibrium analysis.
STUDY ON THE RELATIONSHIPS AMONG CUSTOMER SATISFACTION , BRAND LOYALTY AND REPURCHASE INTENTION

To explore the influences of multiple reference on brand assessment and build relationships among them , this research used “expectancy disconfirmation, bra nd preference and alternative attractiveness” as th e comparison result and “customer satisfaction, brand loyalty and repurchase intention” as the result of brand assessment, and chose “brand consumers of mobile co mmunication service providers” as the research subject. Having empirical analysis, expectancy disc onfirmation and brand preference presented positive relations to customer satisfaction, and brand prefe rence had a positive effect on repurchase intention , while alternative attractiveness revealed negative relati ons to repurchase intention. In addition, expectanc y disconfirmation and brand preference affected repur chase intention through single intervening variable ( customer satisfaction ) or dual intervening variables (customer satisfaction and brand loyalty ), and brand preference did not regulate the influence of alternative attractiveness on customer satisfaction , whereas, brand preference adjusted the effect of al ern tive attractiveness on repurchase intention.
Proteomic Investigations of Lysine Acetylation Identify Diverse Substrates of Mitochondrial Deacetylase Sirt3

Lysine acetylation is a posttranslational modification that is dynamically regulated by the activity of acetyltransferases and deacetylases. The human and mouse genomes encode 18 different lysine deacetylases (KDACs) which are key regulators of many cellular processes. Identifying substrates of KDACs and pinpointing the regulated acetylation sites on target proteins may provide important information about the molecular basis of their functions. Here we apply quantitative proteomics to identify endogenous substrates of the mitochondrial deacetylase Sirtuin 3 (Sirt3) by comparing site-specific acetylation in wild-type murine embryonic fibroblasts to Sirt3 knockout cells. We confirm Sirt3-regulated acetylation of several mitochondrial proteins in human cells by comparing acetylation in U2OS cells overexpressing Sirt3 to U2OS cells in which Sirt3 expression was reduced by shRNA. Our data demonstrate that ablation of Sirt3 significantly increases acetylation at dozens of sites on mitochondrial proteins. Substrates of Sirt3 are implicated in various metabolic pathways, including fatty acid metabolism and the tricarboxylic acid cycle. These results imply broader regulatory roles of Sirt3 in the mitochondria by modulating acetylation on diverse substrates. The experimental strategy described here is generic and can be applied to identify endogenous substrates of other lysine deacetylases.
Antitumor activity mediated by double-negative T cells.

Allogeneic lymphocytes are potent mediators of leukemia and lymphoma remission. The goal of this study was to determine whether single MHC class I locus-mismatched lymphocytes could generate an antilymphoma activity in the absence of graft-versus-host-disease (GVHD) and to understand the underlying mechanisms. Immunoincompetent Scid or lethally irradiated mice were challenged i.v. with a lethal dose of A20 lymphoma cells together with an infusion of single MHC class I locus mismatched splenocytes. Mice that were challenged with A20 cells alone succumbed to lymphoma between 34 and 50 days after infusion. In contrast, >75% of mice that were coinfused with single class I MHC locus mismatched splenocytes survived indefinitely (n = 20) in the absence of GVHD. Interestingly, the number of CD3(+)CD4(-)CD8(-) double-negative (DN) T cells increased 15-fold in mice that did not develop lymphoma. Both DN T cells isolated from the spleens of lymphoma-free mice and DN T cells cloned from naïve mice were cytotoxic to A20 lymphoma cells in vitro. When DN T cell clones were infused into naïve mice i.v. together with A20 lymphoma cells, 86% of recipient mice were protected from lymphoma onset and did not develop GVHD (n = 22). To assess whether the systemic injection of DN T cells can also suppress local tumor development, A20 cells were infused i.m. , and at the same time DN T cell clones were infused either i.v. or i.m. Results indicated that DN T cells infused systemically (i.v.) could not prevent local tumor outgrowth, but DN T cells coinfused locally (i.m.) prevented local tumor development in 91% of animals (n = 11). Furthermore, we demonstrate that primary DN T cells were also able to prevent tumor growth in 75% of mice when infused together with A20 cells i.m. (n = 12). Together, these results demonstrate that an antilymphoma activity can be generated in mice without causing GVHD. Furthermore, DN T cells can suppress lymphoma cells in vivo and in vitro, suggesting that DN T cells could be used as a novel strategy for the treatment of lymphoma.
Design of low power multiplier using reversible logic gate

The reversible logic has received great attention in last few years due to their ability to decrease the power dissipation which is the main requirement in low power VLSI design. The traditional set of gates like AND, OR and EXOR are not reversible. This paper proposes a 4×4 bit reversible multiplier circuit using Peres gate which can multiply two 4-bit numbers. It is faster and has low hardware complexity compared to the existing designs. In addition, this reversible multiplier is better than the existing counterparts in terms of delay and power because the Peres gate reduces the garbage output. It is based on the two concepts, The partial products can be generated in parallel using Peres gates and thereafter the addition is done of all product terms by using reversible parallel adder designed from TSG gates. After that we replace the reversible parallel adder by modified reversible adder then we compare both the multiplier and compare the terms like garbage outputs, power dissipation, number of gates required and number of constant inputs. Thus, this paper provides the comparison of two multipliers according to their garbage outputs, power dissipation, number of gates required and number of constant inputs.
Eye Tracking the Face in the Crowd Task: Why Are Angry Faces Found More Quickly?

Among a crowd of distractor faces, threatening or angry target faces are identified more quickly and accurately than are nonthreatening or happy target faces, a finding known as the “face in the crowd effect. ” Two perceptual explanations of the effect have been proposed: (1) the “target orienting” hypothesis (i.e., threatening targets orient attention more quickly than do nonthreatening targets and (2) the “distractor processing” hypothesis (i.e., nonthreatening distractors paired with a threatening target are processed more efficiently than vice versa, leading to quicker detection of threatening targets). Using a task, with real faces and multiple identities, the current study replicated the face in the crowd effect and then, via eye tracking, found greater support for the target orienting hypothesis. Across both the classical search asymmetry paradigm (i.e., one happy target in a crowd of angry distractors vs. one angry target in a crowd of happy distractors) and the constant distractor paradigm (i.e., one happy target in a crowd of neutral distractors vs. one angry target in a crowd of neutral distractors), fewer distractors were fixated before first fixating angry targets relative to happy targets, with no difference in the processing efficiency of distractors. These results suggest that the face in the crowd effect on this task is supported to a greater degree by attentional patterns associated with properties of target rather those of the crowd.
Cooling Timescales and Temporal Structure of Gamma-Ray Bursts

A leading mechanism for producing cosmological gamma-ray bursts (GRBs) is via ultrarelativistic particles in an expanding fireball. The kinetic energy of the particles is converted into thermal energy in two shocks, a forward shock and a reverse shock, when the outward flowing particles encounter the interstellar medium. The thermal energy is then radiated via synchrotron emission and Comptonization. We estimate the synchrotron cooling timescale of the shocked material in the forward and reverse shocks for electrons of various Lorentz factors, focusing in particular on those electrons whose radiation falls within the energy detection range of the BATSE detectors. We find that in order to produce the rapid variability observed in most bursts, the energy density of the magnetic field in the shocked material must be greater than about 1% of the thermal energy density. In addition, the electrons must be nearly in equipartition with the protons, since otherwise we do not have reasonable radiative efficiencies of GRBs. Inverse Compton scattering can increase the cooling rate of the relevant electrons, but the Comptonized emission itself is never within the BATSE range. These arguments allow us to pinpoint the conditions within the radiating regions in GRBs and to determine the important radiation processes. In addition, they provide a plausible explanation for several observations. The model predicts that the duty cycle of intensity variations in GRB light curves should be nearly independent of burst duration and should scale inversely as the square root of the observed photon energy. Both correlations are in agreement with observations. The model also provides a plausible explanation for the bimodal distribution of burst durations. There is no explanation, however, for the presence of a characteristic break energy in GRB spectra.
Common envelope evolution

Abstract Many binary star systems are not wide enough to contain the progenitor stars from which they were made. One explanation for this is that when one star becomes a red giant a common envelope forms around both stars in the binary system. The core of the giant and its companion star continue to orbit one another inside the envelope. Frictional energy deposited into the common envelope may lead to its ejection and, if so, a close binary system is formed from the core of the former giant star and its relatively untouched companion. When the primary is an asymptotic giant branch star the core becomes a hot carbon-oxygen white dwarf which may ionise the ejected envelope and illuminate a planetary nebula. Many other types of binary systems form through common envelope evolution such as low-mass X-ray binaries and cataclysmic variables. In the case of a failed envelope ejection when the cores merge, rapidly-rotating solitary giants similar to FK Comae stars form. In this short review we focus on attempts to constrain parameters of common envelope evolution models and also describe the latest efforts to model this elusive phase of binary stellar evolution.
A New Approach to Source Conditions in Regularization with General Residual Term

This article addresses Tikhonov-like regularization methods with convex penalty functionals for solving nonlinear ill-posed operator equations formulated in Banach or, more general, topological spaces. We present an approach for proving convergence rates that combines advantages of approximate source conditions and variational inequalities. Precisely, our technique provides both a wide range of convergence rates and the capability to handle general and not necessarily convex residual terms as well as nonsmooth operators. Initially formulated for topological spaces, the approach is extensively discussed for Banach and Hilbert space situations, showing that it generalizes some well-known convergence rates results.
Selection, Reallocation, and Spillover: Identifying the Sources of Gains from Multinational Production

Quantifying the gains from multinational production has been a vital topic of economic research. Positive productivity gains are often attributed to knowledge spillover from multinational to domestic rms. An alternative, less stressed explanation is rm selection whereby competition from multinationals leads to market reallocation and survival of only the most productive domestic rms. We develop a model that incorporates both aspects and identify their relative importance in the gains from multinational production by exploring their distinct predictions on domestic productivity and revenue distributions. We show that knowledge spillover shifts both distributions rightward while selection and reallocation raise the left truncation of the distributions and shift revenue leftward. Using a rich rm-level panel dataset that spans 60 countries, we nd rm selection and market reallocation constitute an important source of productivity gains while its relative importance varies across nations. Ignoring the role of this source can lead to signi cant bias in understanding the nature of gains. We also perform counterfactual analysis and quantify both the aggregate and the decomposed welfare e¤ects of multinational production. JEL Codes: F2, O1, O4
Neural Machine Translation with Reconstruction

Although end-to-end Neural Machine Translation (NMT) has achieved remarkable progress in the past two years, it suffers from a major drawback: translations generated by NMT systems often lack of adequacy. It has been widely observed that NMT tends to repeatedly translate some source words while mistakenly ignoring other words. To alleviate this problem, we propose a novel encoder-decoder-reconstructor framework for NMT. The reconstructor, incorporated into the NMT model, manages to reconstruct the input source sentence from the hidden layer of the output target sentence, to ensure that the information in the source side is transformed to the target side as much as possible. Experiments show that the proposed framework significantly improves the adequacy of NMT output and achieves superior translation result over state-of-the-art NMT and statistical MT systems.
The temporal pattern of creativity and implementation in teams

Two broad sets of activities underlie team innovation: the creation and the implementation of new ideas. Despite the prevalence of this distinction, the temporal dynamics of creativity and implementation in teams and their relation to successful team innovation are not well understood. Building on and integrating linear phase models and complexity perspectives on the innovation process, we propose a temporal pattern of creativity and implementation that is linked to team innovation. We examine this temporal pattern in a longitudinal study of 76 project teams. Results show that teams engage in creativity throughout the entire life cycle of team projects; however, innovative teams refrain from focusing on implementation in early time frames and increase their focus on implementation over the course of the project. Episodes of unconstrained creativity in early time frames of a project appear to be a critical factor for team innovation. Our research provides a foundation for future research on team innovation that explicitly considers the temporal interplay of creativity and implementation.
Estimation of household demand systems with theoretically compatible Engel curves and unit value specifications

We develop a method for estimation of price reactions using unit value data which exploits the implicit links between quantity and unit value choices. This allows us to combine appealing Engel curve specifications with a model of unit value determination in a way which is consistent with demand theory, unlike methods hitherto prominent in the literature. The method is applied to Czech data.
Interacting effects of climate and agriculture on fluvial DOM in temperate and subtropical catchments

Dissolved organic matter (DOM) is an important factor in aquatic ecosystems, which is involved in a large variety of biogeochemical and ecological processes, and recent literature suggests that it could be strongly affected by agriculture in different climates. Based on novel monitoring techniques, we investigated the interaction of climate and agriculture effects on DOM quantity and quality. To examine this, we took water samples over 2 years in two paired intensive and extensive farming catchments in each of Denmark (temperate climate) and Uruguay (subtropical climate). We measured dissolved organic carbon (DOC) and nitrogen (DON) concentrations and DOC and DON molecular fractions with size-exclusion chromatography. Moreover, we characterized DOM quality with absorbance and fluorescence measurements, as well as parallel factor analysis (PARAFAC). We also calculated the DOC and DON loads based on daily discharge measurements, as well as measured precipitation and air temperature. The fluvial DOM in the catchments in Uruguay was characterized by higher temporal variability of DOC and DON loads which were clearly to a higher temporal variability of precipitation and a DOM composition with rather plant-like character relative to the Danish catchments. Moreover, we found a consistently higher temporal variability of DOC and DON loads in the intensive farming catchments than in the extensive farming catchments, with highest temporal variability in the Uruguayan intensive farming catchment. Furthermore, the composition of DOM exported from the intensive farming catchments was consistently complex and always related to microbial processing in both Denmark and Uruguay. This was indicated by low C : N ratios, several spectroscopic DOM composition indices and PARAFAC fluorescence components. We propose that the consistent effect of intensive farming on DOM composition and the temporal variability of DOC and DON loads is related to similarities in the management of agriculture, which may have widescale implications for fluvial DOM composition, as well as related ecological processes and biogeochemical cycles.
Turbulent Motions and Shocks Waves in Galaxy Clusters simulated with AMR

We have implemented an Adaptive Mesh Refinement criterion explicitly designed to increase spatial resolution around discontinuities in the velocity field in ENZO cosmological simulations. With this technique, shocks and turbulent eddies developed during the hierarchical assembly of galaxy clusters are followed with unprecedented spatial resolution, even at large distances from the clusters center. By measuring the spectral properties of the gas velocity field, its time evolution and the properties of shocks for a reference galaxy cluster, we investigate the connection between accretion processes and the onset of chaotic motions in the simulated Inter Galactic Medium over a wide range of scales