Estrategia programática en Instagram de los candidatos en las elecciones autonómicas de la Comunidad de Madrid 2021

The research analyzes the use of the social network Instagram as a tool for the dissemination of party programmatic lines in the elections to the Community of Madrid in 2021. For this purpose, attention is paid to the man- agement and visibility of the candidates' posts, the thematic composition of the electoral programs and their argumentation in the social network, as well as the possible strategies used in this field as a complement to the celebrity of the leader. Using a methodology based on content analysis, complemented by quali- tative analysis, a sample of 377 posts published on the profiles of the six candi- dates for the regional presidency were studied. The study addresses variables such as the post type, the scene of action, the prominence of the leader and the propagandistic argument. The results show the potential of Instagram in the dissemination of political action plans despite the lack of a common strategy to promote it as a real communication channel with the electorate. In addition, the personalization of the candidate, the ideological component of the posts and the determination of the election news during the campaign are required.

Implications of variations in stream specific conductivity for estimating baseflow using chemical mass balance and calibrated hydrograph techniques

Baseflow to rivers comprises regional groundwater and lower-salinity intermediate water stores such as interflow, soil water, and bank return flows. Chemical mass balance (CMB) calculations based on the specific conductivity (SC) of rivers potentially estimate the groundwater contribution to baseflow. This study discusses the application of the CMB approach in rivers from south-eastern Australia and assesses the feasibility of calibrating recursive digital filters (RDFs) and sliding minima (SM) techniques based on streamflow data to estimate groundwater inflows. The common strategy of assigning the SC of groundwater inflows based on the highest annual river SC may not always be valid due to the persistent presence of lower-salinity intermediate waters. Rather, using the river SC from low-flow periods during drought years may be more realistic. If that is the case, the estimated groundwater inflows may be lower than expected, which has implications for assessing contaminant transport and the impacts of near-river groundwater extraction. Probably due to long-term variations in the proportion of groundwater in baseflow, the RDF and SM techniques cannot generally be calibrated using the CMB results to estimate annual baseflow proportions. Thus, it is not possible to extend the estimates of groundwater inflows using those methods, although in some catchments reasonable estimates of groundwater inflows can be made from annual streamflows. Short-term variations in the composition of baseflow also lead to baseflow estimates made using the CMB method being far more irregular than expected. This study illustrates that estimating baseflow, especially groundwater inflows, is not straightforward.

Static-Dynamic Hybridity in Dynamical Models of Cognition

Dynamical models of cognition have played a central role in recent cognitive science. In this paper, we consider a common strategy by which dynamical models describe their target systems neither as purely static nor as purely dynamic, but rather using a hybrid approach. This hybridity reveals how dynamical models involve representational choices that are important for understanding the relationship between dynamical and non-dynamical representations of a system.

Graph coarsening: from scientific computing to machine learning

The general method of graph coarsening or graph reduction has been a remarkably useful and ubiquitous tool in scientific computing and it is now just starting to have a similar impact in machine learning. The goal of this paper is to take a broad look into coarsening techniques that have been successfully deployed in scientific computing and see how similar principles are finding their way in more recent applications related to machine learning. In scientific computing, coarsening plays a central role in algebraic multigrid methods as well as the related class of multilevel incomplete LU factorizations. In machine learning, graph coarsening goes under various names, e.g., graph downsampling or graph reduction. Its goal in most cases is to replace some original graph by one which has fewer nodes, but whose structure and characteristics are similar to those of the original graph. As will be seen, a common strategy in these methods is to rely on spectral properties to define the coarse graph.

Attenuating pandemic supply shocks with 3D printed emergency use equipment

The fast-moving COVID-19 pandemic stressed supply chains even for some of the best prepared medical facilities. As a result, producing on-demand personal protective equipment (PPE) using additive manufacturing (AM) capabilities (3D-printing) emerged as a common strategy. While layer-by-layer processing confers several advantages to AM, it also imposes prohibitive print times, particularly for large volume parts. This leads to potential for using AM to rapidly produce smaller adaptors that modify available components for addressing critical shortages in emergencies. We applied this principle in developing a quick, simple, and low-cost adaptation of elastomeric half-mask respirators for emergency use in high-risk clinical settings. As we move toward reopening society, we must proactively build stronger bridges between engineering and medicine to respond to critical shortages in PPE ensuing from a potential second wave.

Anti-Solvatochromic and Highly Emissive Twisted D-A structure with Intramolecular Hydrogen Bond

Electron donor-acceptor (D-A) structure are the most common strategy to develop fluorescent dyes with high quantum yield in solution and the solid state. However, most of the D-A type fluorescent...

Idiomatic Expressions in J.K. Rowling’s Harry Potter and The Prisoner of Azkaban

The paper argues that the quality of idiom translations depends on the appropriate strategy used while translating them because idiomatic expressions cannot be translated from their words. This study was carried out to describe the meaning of the idiomatic expression and the application of Chesterman's strategies in translating idioms and identify the speech acts of the utterances conveyed by the speaker in the data. This research used a descriptive qualitative method. The data were gathered from J.K. Rowling’s Harry Potter and the Prisoner of Azkaban. The study also used their Indonesian version to find out the translation of the idiomatic expressions. One hundred five quotes were taken from the novels. As a result, Unit Shift appears more frequently in the novel as a syntactic strategy followed by Scheme Change. Furthermore, in terms of semantic approach, distribution Change is the most common strategy that emerges from the novels, followed by Trope Change. The Assertive Act is the most dominant act delivered by the speaker behind the utterances in speech acts.

Heterogeneity and genomic loci of ubiquitous Cre reporter transgenes in zebrafish

The most-common strategy for zebrafish Cre/lox-mediated lineage labeling experiments combines ubiquitously expressed, lox-based Switch reporter transgenes with tissue-specific Cre or 4-OH-Tamoxifen-inducible CreERT2 driver lines. Although numerous Cre driver lines have been produced, only a few broadly expressed Switch reporters exist in zebrafish and their generation by random transgene integration has been challenging due to position-effect sensitivity of the lox-flanked recombination cassettes. Here, we compare commonly used Switch reporter lines for their recombination efficiency and reporter expression pattern during zebrafish development. Using different experimental setups, we show that ubi:Switch and hsp70l:Switch outperform current generations of two additional Switch reporters due to favorable transgene integration sites. Our comparisons also document preferential Cre-dependent recombination of ubi:Switch and hsp70l:Switch in distinct zebrafish tissues at early developmental stages. To investigate what genomic features may influence Cre accessibility and lox recombination efficiency in highly functional Switch lines, we mapped these transgenes and charted chromatin dynamics at their integration sites. Our data documents the heterogeneity among lox-based Switch transgenes towards informing suitable transgene selection for lineage labeling experiments. Our work further proposes that ubi:Switch and hsp70l:Switch define genomic integration sites suitable for universal transgene or switch reporter knock-in in zebrafish.

Ripening and fruit quality of ‘Fortune’ plums treated by pre-harvest application of ripening stimulants

The use of plant growth regulators that increase ethylene production is a common strategy to anticipate fruit ripening, increase peel color, and reduce the number of collections to complete the harvest of the fruits. Besides, this strategy may come true as a helping technique for the farmers to reduce costs with manpower, increasing overall profitability. This work aimed to evaluate the application of several concentrations of ethephon, associated with boric acid, on the anticipation of ripening of ‘Fortune’ plums, cultivated in Serra Gaúcha region, South Brazil. The study was carried out in a commercial orchard during the 2018-2019 and 2019-2020 harvests. It was used a completely randomized design with six treatments and four replicates; each replicate was composed of four plants. The following parameters were evaluated: the amount of fruits collected in each harvest, average fruit mass, diameter, length, firmness, soluble solids content, titratable acidity, SS/TA ratio, total phenolic compounds, and total anthocyanins. According to the results, the application of ethephon was capable of hastening and homogenizing partially plum ripening, but it also caused a reduction of anthocyanin and phenolic compounds contents and fruit firmness. On the other hand, the application of boric acid increased fruit firmness. From an economic standpoint, the pre-harvest application of ethephon may be interesting to reduce manpower requirements during harvest by an earlier harvest and by reducing the number of harvest cycles.

Histone H3 deacetylation promotes host cell viability for efficient infection by Listeria monocytogenes

For many intracellular bacterial pathogens manipulating host cell survival is essential for maintaining their replicative niche, and is a common strategy used to promote infection. The bacterial pathogen Listeria monocytogenes is well known to hijack host machinery for its own benefit, such as targeting the host histone H3 for modification by SIRT2. However, by what means this modification benefits infection, as well as the molecular players involved, were unknown. Here we show that SIRT2 activity supports Listeria intracellular survival by maintaining genome integrity and host cell viability. This protective effect is dependent on H3K18 deacetylation, which safeguards the host genome by counteracting infection-induced DNA damage. Mechanistically, infection causes SIRT2 to interact with the nucleic acid binding protein TDP-43 and localise to genomic R-loops, where H3K18 deacetylation occurs. This work highlights novel functions of TDP-43 and R-loops during bacterial infection and identifies the mechanism through which L. monocytogenes co-opts SIRT2 to allow efficient infection.